US20180337850A1 - Apparatus and method for hardware-accelerated packet processing - Google Patents

Apparatus and method for hardware-accelerated packet processing Download PDF

Info

Publication number
US20180337850A1
US20180337850A1 US15/845,107 US201715845107A US2018337850A1 US 20180337850 A1 US20180337850 A1 US 20180337850A1 US 201715845107 A US201715845107 A US 201715845107A US 2018337850 A1 US2018337850 A1 US 2018337850A1
Authority
US
United States
Prior art keywords
hardware
control device
packet streams
switch
packet
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US15/845,107
Inventor
Nrupal Jani
Dinesh Kumar
Christian Maciocco
Ren Wang
Neerav Parikh
John Fastabend
Iosif Gasparakis
David J. Harriman
Patrick L. Connor
Sanjeev Jain
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Intel Corp
Original Assignee
Intel Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Intel Corp filed Critical Intel Corp
Priority to US15/845,107 priority Critical patent/US20180337850A1/en
Publication of US20180337850A1 publication Critical patent/US20180337850A1/en
Abandoned legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00Routing or path finding of packets in data switching networks
    • H04L45/44Distributed routing
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0876Network utilisation, e.g. volume of load or congestion level
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00Routing or path finding of packets in data switching networks
    • H04L45/302Route determination based on requested QoS
    • H04L45/306Route determination based on the nature of the carried application
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/10Flow control; Congestion control
    • H04L47/12Avoiding congestion; Recovering from congestion
    • H04L47/125Avoiding congestion; Recovering from congestion by balancing the load, e.g. traffic engineering
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/70Admission control; Resource allocation
    • H04L47/78Architectures of resource allocation
    • H04L47/781Centralised allocation of resources
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/02Capturing of monitoring data
    • H04L43/026Capturing of monitoring data using flow identification
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0805Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
    • H04L43/0817Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/16Threshold monitoring

Definitions

  • Embodiments described generally herein relate to processing of data packets sent or received through a network. Some embodiments relate to hardware acceleration of data packet processing.
  • Top-of-rack switches and special function hardware provide network functions including packet switching, security, deep packet inspection, and other functions. Recently, there has been a trend to provide virtual switches and network functions executing on high-volume computer architectures. Ongoing efforts are directed to improving coordination between switches to take advantage of speed benefits in hardware switches and flexibility and power of virtual switches.
  • FIG. 1 illustrates components of a switching platform that includes a control device for implementing methods in accordance with some embodiments.
  • FIG. 2 illustrates a control device in accordance with some embodiments.
  • FIG. 3 illustrates a service function forwarder usage model of a switching platform in accordance with some embodiments.
  • FIG. 4 illustrates an open virtual switch usage model of a switching platform in accordance with some embodiments.
  • FIG. 5 illustrates a connection tracker usage model of a switching platform in accordance with some embodiments.
  • FIG. 6 is a flow diagram of an example hardware-implemented method in accordance with some embodiments.
  • FIG. 7 is a block diagram of a hardware switch in accordance with some embodiments.
  • Top-of-rack switches and special function hardware to provide network functions including packet switching, security, deep packet inspection, and other functions.
  • customers may experience reduced functionality caused by hardware limitations such as limited memory, limited Ternary Content-Addressable Memory (TCAM), reduced total number of supported data flows, etc.
  • hardware switches may be overly rigid with respect to packet parsing, and hardware switches can exhibit a general lack of platform flexibility and configurability.
  • Embodiments provide a way to coordinate and manage, in a fine-grained fashion, multiple data plane components to utilize desirable features of both hardware switching and SDN/NFV usages.
  • Control plane components include mechanisms to determine where traffic (e.g., data packets or flows) should be directed, while data plane components include mechanisms that forward traffic to those destinations.
  • Embodiments provide control plane methods and apparatuses to coordinate multiple data plane components.
  • Data plane components can include, by way of nonlimiting example, Data Plane Development Kit (DPDK) components, field programmable gate array (FPGA) components, and Red Rock Canyon (RRC) switch components available from Intel of Santa Clara, Calif., among other components.
  • DPDK Data Plane Development Kit
  • FPGA field programmable gate array
  • RRC Red Rock Canyon
  • Methods in accordance with various embodiments can coordinate utilization of these and other components in a dynamic and flexible fashion based on user-defined policies to reduce or minimize energy consumption or to enhance speed and performance.
  • a control plane can offload a simple fast packet-processing pipeline from software-based switches or virtual switches to switch hardware, while providing for more-complicated processing on the CPU-based software data plane.
  • methods and apparatuses described below with respect to various embodiments can provide scaling actions responsive to changes in a monitored network load for additional power and performance enhancement.
  • Apparatuses in accordance with various embodiments described later herein, include a control device including a switch interface to communicate with a hardware switch or a set of hardware switches.
  • the control device can be referred to as an interplane control device in some embodiments or implementations.
  • the control device can be referred to as a control plane processor.
  • the control device further includes a data plane interface to communicate with one or more data plane processors.
  • the control device further includes processing circuitry to distribute packet streams between the hardware switch and software data plane components based on the detected characteristics of the packet streams, as will be described in more detail later herein.
  • some other hardware-accelerated packet processing architecture does not take advantage of both software and hardware data plane components.
  • FIG. 1 illustrates components of a switching platform 100 that includes a control device 102 for implementing methods in accordance with various embodiments.
  • the network operating system (in kernel or user space) runs on the switching platform 100 and, among other functionalities, manages a hardware switch 104 , data plane processors 106 , and associated accelerators programmed in the FPGA 108 .
  • the hardware switch 104 can include fixed-logic switch silicon (switch Si) circuitry or other hardware circuitry, and the hardware switch 104 can include a switch of the Intel® Ethernet Switch family, available from Intel Corporation of Santa Clara, Calif.
  • Each of the data plane processors 106 are connected to the hardware switch 104 using very high-bandwidth, low-latency interconnects 110 , which can support speeds of, for example, 10-40 Gigabit Ethernet (GbE). Additionally the data plane processors 106 are interconnected among each other to make a coherent fabric to access extended flow tables provided in random access memory (RAM) 112 of the switching platform 100 , or to pass packets from one data plane processor 106 to the next, among other uses.
  • RAM random access memory
  • the control device 102 initializes the hardware switch 104 and programs the switch ports of the hardware switch 104 facing the data plane processors 106 , using flexible interfaces, to provide scalable flow processing that can be adapted for various usage models described later herein with reference to FIGS. 3-5 , in addition to other data center usage models.
  • the hardware switch 104 also receives packet streams and connects to other devices or systems using Ethernet ports 111 .
  • the control device 102 can execute (e.g., “run”) on a specialized core in some embodiments. Alternatively, in other embodiments, the control device 102 (or processing circuitry of the control device 102 ) can be distributed among one or more Intel Architecture® (IA) cores 114 , by way of nonlimiting example.
  • IA Intel Architecture®
  • FIG. 2 illustrates an control device 102 in accordance with some embodiments.
  • the control device 102 includes a switch interface 200 to communicate with one or more hardware switches (e.g., the hardware switch 104 ( FIG. 1 ).
  • one or more hardware switches e.g., the hardware switch 104 ( FIG. 1 ).
  • the control device 102 also includes a data plane interface 202 to communicate with one or more data plane processors 106 ( FIG. 1 ).
  • the control device 102 includes processing circuitry 204 to perform functionalities as described later herein. It will be understood that any or all of the functions performed by processing circuitry 204 can be executed with hardware, software, firmware, or any combination thereof, on one or more processing cores, for example IA cores 114 or a core of the control device 102 .
  • the processing circuitry 204 can detect characteristics of a plurality of packet streams that have been received at the switch interface 200 .
  • the processing circuitry 204 can distribute the plurality of packet streams between the one or more hardware switches (e.g., the hardware switch 104 ( FIG. 1 ) and software data plane components based on the detected characteristics of the plurality of packet streams.
  • Characteristics can include the complexity of a respective packet stream (measured in machine cycles), whether the packet stream is simply an I/O flow that does not use processing power, etc.
  • Software data plane components can include elements for SDN or NFV functions as described earlier herein, and software data plane components can execute on IA cores 114 .
  • the processing circuitry 204 can monitor packet streams and offload simple packet streams.
  • the processing circuitry 204 can determine whether a packet stream is a simple packet stream based on processing power expected to be used by a respective packet stream (e.g., a packet stream is a simple packet stream if no or few central processing unit (CPU) machine cycles will be used to process a respective packet stream).
  • the processing circuitry 204 can use any other criteria to determine which packet streams are simple packet streams, and the processing circuitry 204 may distribute other types of packet streams, other than simple packet streams, to hardware switches for further processing.
  • the processing circuitry 204 can distribute the plurality of packet streams such that at least one packet stream is designated to be processed by the one or more hardware switches.
  • the processing circuitry 204 can detect capability information for the one or more hardware switches, and the processing circuitry 204 can distribute the plurality of packet streams based at least in part on capability information for the one or more hardware switches. Examples of capability information can include quality of service capabilities, whether the switch supports hardware accelerator capabilities to perform hardware-based lookup, support for encryption, etc.
  • the processing circuitry 204 can be implemented in a specialized core for control plane functionalities or, in some embodiments, some or all control plane functionalities can be distributed among a plurality of cores. Control plane functionalities are described in more detail below.
  • hardware switch fabric with TCAM has the advantage of high throughput and low latency.
  • hardware switches may lack flexibility and configurability. Additionally, hardware switches may have only limited TCAM capacity.
  • IA software, or other software including DPDK components can exhibit high throughput and enhanced flexibility relative to hardware components, but with tradeoffs in latency and power. Embodiments therefore take advantage of both hardware and software data plane components to achieve enhanced performance and energy efficiency.
  • Any or all of the control plane functionalities described herein can be implemented by components of the control device 102 ( FIGS. 1 and 2 ).
  • the processing circuitry 204 FIG. 2
  • the processing circuitry 204 can implement one or more functionalities, on a specialized processing core or on a plurality of IA cores 114 , by way of nonlimiting example.
  • the control device 102 supports hardware/software hybrid packet processing in various embodiments by enabling the hardware switch 104 ( FIG. 1 ) to process as many packet streams as can be processed according to hardware limitations or other limitations, while directing other packet streams to software for processing.
  • less frequently-accessed packet streams, or special packet streams may be distributed to software, rather than hardware.
  • flows not requiring a particular quality of service such as web-based traffic (as opposed to video or voice traffic which can have latency or quality of service requirements) may be routed to software instead of hardware switches. Accordingly, embodiments can allow data center operators to take advantage of hardware to accelerate the packet processing while still allowing for flexible software packet processing for packet streams that have relatively more complex processing demands.
  • the control device 102 monitors network traffic, decides which packet streams should be processed by switch hardware, and uses a flexible interface to dynamically configure the multiple data planes to achieve enhanced performance.
  • the control device 102 can implement a variety of algorithms to decide which packet streams should be cached in TCAM.
  • the control device 102 can perform hardware-assisted load balancing.
  • processing circuitry 204 ( FIG. 2 ) of the control device 102 can detect traffic load characteristics or data corresponding to the plurality of packet streams, and direct one or more packet streams to the one or more hardware switches based on traffic load characteristics.
  • the traffic load can be detected based on traffic patterns observed at Ethernet ports 111 of the hardware switch 104 ( FIG. 1 ).
  • control device 102 provides hardware packet processing hints to hardware switch 104 ( FIG. 1 ) so that the hardware switch 104 can direct packets of the packet stream to an appropriate target core.
  • the target core can include a processor, software application, or other module that will process the packet stream.
  • the control device 102 may provide these hints based on context awareness in some embodiments, or on any other criteria or user-defined request.
  • the control device 102 may provide enhanced performance or energy efficiency by determining, based on network load or other criteria, how many processing cores (e.g., IA cores 114 , FIG. 1 ) must remain active to keep up with demanded packet processing speed. Instead of statically binding ports to core, the control device 102 may then provide hints to the hardware switch 104 to direct packet streams to those active cores, while keeping other cores in an inactive, or power-saving state.
  • processing cores e.g., IA cores 114 , FIG. 1
  • FIG. 3 illustrates a service function forwarder usage model of a switching platform 300 in accordance with some embodiments.
  • the control device 102 can program the hardware switch 104 with a routing rule.
  • the control device 102 can program the hardware switch 104 with a rule (using the interconnect 110 ) to steer traffic targeted for a Service Function Forwarder (SFF) 301 instance executing (e.g., “running”) on one of more data plane processors 106 .
  • SFF Service Function Forwarder
  • the SFF 301 can use an available interface to pass the packets to the Service Functions (SF) 302 .
  • SF Service Functions
  • An SF 302 can execute within FPGA 108 , although embodiments are not limited thereto.
  • An SF is a function that is responsible for specific treatment of received packets.
  • An SF can act at the network layer or other open systems interconnection (OSI) layers.
  • An SF can be a virtual instance of a function or an SF can be embedded in a physical network element.
  • One of multiple SFs can be embedded in the same network element. Multiple instances of the SF can be enabled in the same administrative domain.
  • SFs can include, by way of nonlimiting example, firewalls, wireless area network (WAN) and application acceleration, Deep Packet Inspection (DPI), server load balancers, transport control protocol (TCP) optimizers, etc.
  • DPI Deep Packet Inspection
  • TCP transport control protocol
  • FIG. 4 illustrates an open virtual switch usage model of a switching platform 400 in accordance with some embodiments.
  • the hardware switch 104 is abstracted as an Open Virtual Switch (OVS) data plane.
  • the hardware switch 104 includes flow tables 402 that include rules for routing packet streams. Because only a limited number of flows can be supported in the hardware switch 104 due to space limitations and hardware limitations, the flow tables 402 can cooperate with extended flow tables 404 stored in, for example, system RAM 112 .
  • the extended flow tables 404 can provide for greater scalability than can be achieved with hardware-only switching.
  • the switching platform 400 allows flows with some of the stateful actions beyond those that can be performed with some available fixed-logic hardware switches.
  • FIG. 5 illustrates a connection tracker usage model of a switching platform 500 in accordance with some embodiments.
  • an application delivery controller (ADC) instance 504 can execute on one or more of the data plane processors 106 . Rules included in the flow tables 502 can route application traffic among various ports facing the data plane processors 106 .
  • the flow tables 502 can be the same as, or similar to, the flow tables 402 ( FIG. 4 ).
  • the ADC instance 504 executing on each data plane processor 106 can provide a stateful connection tracker for monitoring connections.
  • the connection tracker tracks individual or, in some cases, aggregate flow characteristics. For example the connection tracker can track the number of packets sent or received per second, the number of bytes sent or received, the types of packets being transmitted by the flow, etc. Two examples of types of packets include TCP-SYN packets, which open connections, and TCP-FIN packets, which close existing connections.
  • the connection tracker can track this information or other information for security purposes to prevent against attack, to provide better quality of service for certain flows that are more active than other flows, etc.
  • FIG. 6 is a flow diagram of an example method 600 in accordance with some embodiments.
  • a control device for example the control device 102 , as described above with respect to FIG. 1 or elements thereof described with reference to FIG. 2 , can perform operations of the example method 600 . Accordingly, the example method 600 will be described with reference to components of FIG. 2 .
  • processing circuitry 204 can perform one or more operations of example method 600 .
  • the example method 600 begins with operation 602 with the processing circuitry 204 detecting characteristics of a plurality of packet streams received at a switch interface 200 .
  • the packet streams may ultimately have been received at Ethernet ports 111 of the hardware switch 104 ,
  • the example method 600 continues with operation 602 with the processing circuitry 204 distributing the plurality of packet streams between one or more hardware switches (e.g., hardware switch 104 ) and one or more data plane components based on detected characteristics of the plurality of packet streams.
  • one or more hardware switches e.g., hardware switch 104
  • one or more data plane components based on detected characteristics of the plurality of packet streams.
  • the example method 600 can include the control device 102 providing a hint field to a respective one of the one or more hardware switches (e.g., hardware switch 104 ) that includes information regarding an action to be taken by the respective one of the one or more hardware switches in response to receiving the data packet.
  • the example method 600 can include detecting capability information for the one or more hardware switches and distributing the plurality of packet streams based at least in part on capability information for the one or more hardware switches.
  • the example method 600 can include additional operations such as, for example, detecting traffic load characteristics corresponding to the plurality of packet streams and directing one or more packet streams to the one or more hardware switches based on traffic load characteristics. Traffic load characteristics can be detected based on observed data at Ethernet ports of the hardware switch 104 ( FIG. 1 )
  • the example method 600 can include detecting that a packet processing workload has fallen below a threshold value based on the detected traffic load characteristics and instructing at least one processing core to enter a sleep mode responsive to the detecting.
  • the example method 600 can include any other operations or functionalities of an control device 102 or usage model thereof, described above with respect to FIGS. 1-5 . Operations can be performed in any order or in parallel where appropriate.
  • the method 600 can be performed by hardware, firmware, software, or any combination thereof.
  • Examples, as described herein, may include, or may operate on, logic or a number of components, modules, or mechanisms.
  • Modules are tangible entities (e.g., hardware) capable of performing specified operations and may be configured or arranged in a certain manner.
  • circuits may be arranged (e.g., internally or with respect to external entities such as other circuits) in a specified manner as a module.
  • at least a part of one or more computer systems (e.g., a standalone, client or server computer system) or one or more processors of the control device 102 may be configured by firmware or software (e.g., instructions 205 ( FIG. 2 ), an application portion, or an application) as a module that operates to perform specified operations.
  • the software may reside on at least one machine-readable medium.
  • the software when executed by the underlying hardware of the module (e.g., the control device 102 ), can include instructions 205 ( FIG. 2 ) to cause the hardware to perform the specified operations.
  • instructions 205 can cause hardware to detect characteristics of a plurality of packet streams received at a switch interface or at Ethernet ports of fixed logic hardware switches. The characteristics can include whether a respective packet stream of the plurality of packet streams is a simple packet stream, based on a number of central processing unit (CPU) machine cycles are expected to be used by the respective packet stream.
  • the instructions 205 can cause the hardware to distribute the plurality of packet streams between a hardware switch and software data plane components based on detected characteristics of the plurality of packet streams, such that simple packet streams of the plurality of packet streams are distributed to the hardware switch.
  • the instructions 205 can optionally cause the hardware to detect traffic load characteristics corresponding to the plurality of packet streams and to direct one or more packet streams to the one or more hardware switches based on traffic load characteristics.
  • traffic load characteristics can be detected by observing data and traffic patterns at the Ethernet ports 111 of hardware switch 104 ( FIG. 1 )
  • the instructions 205 can cause the hardware to detect that a packet processing workload has fallen below a threshold value based on the detected traffic load characteristics, and to instructing at least one processing core (e.g., IA cores 114 ) to enter a sleep mode responsive to the detecting.
  • the instructions 205 can cause the hardware to distribute at least one packet stream to the at least one hardware switch (e.g., hardware switch 104 ) based on a rule stored in a TCAM corresponding to the at least one hardware switch.
  • the hardware may store the rule in the TCAM based on an algorithm for storing rules in TCAM according to the detected traffic load characteristics.
  • module is understood to encompass a tangible entity, be that an entity that is physically constructed, specifically configured (e.g., hardwired), or temporarily (e.g., transitorily) configured (e.g., programmed) to operate in a specified manner or to perform at least part of any operation described herein.
  • a module need not be instantiated at any one moment in time.
  • the modules comprise a general-purpose hardware processor configured using software; the general-purpose hardware processor may be configured as respective different modules at different times.
  • Software may accordingly configure a hardware processor, for example, to constitute a particular module at one instance of time and to constitute a different module at a different instance of time.
  • application is used expansively herein to include routines, program modules, programs, components, and the like, and may be implemented on various system configurations, including single-processor or multiprocessor systems, microprocessor-based electronics, single-core or multi-core systems, combinations thereof, and the like.
  • application may be used to refer to an embodiment of software or to hardware arranged to perform at least part of any operation described herein.
  • machine-readable medium may include a single medium
  • machine-readable medium may include a single medium or multiple media (e.g., a centralized or distributed database, and/or associated caches and servers).
  • machine-readable medium may include any medium that is capable of storing, encoding, or carrying instructions 205 for execution by a machine (e.g., the control device 102 or any other module) and that cause the machine to perform any one or more of the techniques of the present disclosure, or that is capable of storing, encoding or carrying data structures used by or associated with such instructions.
  • the processing circuitry 204 FIG. 2
  • Other non-limiting machine-readable medium examples may include solid-state memories, and optical and magnetic media.
  • machine-readable media may include: non-volatile memory, such as semiconductor memory devices (e.g., Electrically Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM)) and flash memory devices; magnetic disks, such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks.
  • non-volatile memory such as semiconductor memory devices (e.g., Electrically Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM)) and flash memory devices
  • EPROM Electrically Programmable Read-Only Memory
  • EEPROM Electrically Erasable Programmable Read-Only Memory
  • flash memory devices e.g., Electrically Erasable Programmable Read-Only Memory (EEPROM)
  • EPROM Electrically Programmable Read-Only Memory
  • EEPROM Electrically Erasable Programmable Read-Only Memory
  • flash memory devices e.g., Electrically Era
  • the instructions 205 may further be transmitted or received over a communications network using a transmission medium utilizing any one of a number of transfer protocols (e.g., frame relay, internet protocol (IP), TCP, user datagram protocol (UDP), hypertext transfer protocol (HTTP), etc.).
  • transfer protocols e.g., frame relay, internet protocol (IP), TCP, user datagram protocol (UDP), hypertext transfer protocol (HTTP), etc.
  • Example communication networks may include a local area network (LAN), a wide area network (WAN), a packet data network (e.g., the Internet), mobile telephone networks ((e.g., channel access methods including Code Division Multiple Access (CDMA), Time-division multiple access (TDMA), Frequency-division multiple access (FDMA), and Orthogonal Frequency Division Multiple Access (OFDMA) and cellular networks such as Global System for Mobile Communications (GSM), Universal Mobile Telecommunications System (UMTS), CDMA 2000 1 ⁇ * standards and Long Term Evolution (LTE)), Plain Old Telephone (POTS) networks, and wireless data networks (e.g., Institute of Electrical and Electronics Engineers (IEEE) 802 family of standards including IEEE 802.11 standards (WiFi), IEEE 802.16 standards (WiMax®) and others), peer-to-peer (P2P) networks, or other protocols now known or later developed.
  • LAN local area network
  • WAN wide area network
  • packet data network e.g., the Internet
  • mobile telephone networks
  • transmission medium shall be taken to include any intangible medium that is capable of storing, encoding or carrying instructions for execution by hardware processing circuitry, and includes digital or analog communications signals or other intangible medium to facilitate communication of such software.
  • FIG. 7 is a block diagram of a hardware switch 104 in accordance with some embodiments.
  • the hardware switch 104 includes ingress ports 702 for receiving a plurality of packet streams.
  • the ingress ports 702 can also be referred to as Ethernet ports, communication ports, etc.
  • the hardware switch 104 includes a control interface 704 to communicate with a control device 102 and a switch data plane interface 706 to communicate with one or more data plane processors 106 .
  • the hardware switch 104 is configured to receive, over the control interface 704 , indications of which packet streams, of the plurality of packet streams, are designated to be processed by the hardware switch 104 according to embodiments described above. As described earlier herein, the hardware switch 104 can provide capability information, over the control interface 704 , to the control device 102 , and the hardware switch 104 can receive a hardware hint to instruct the hardware switch 104 to direct packets to a target processing core for processing a corresponding packet stream.
  • Example 1 includes subject matter (such as a control device, interplane control device, control plane processor, computer device and or any other electrical apparatus, device or processor) including a switch interface to communicate with one or more hardware switches; a data plane interface to communicate with one or more data plane processors; and processing circuitry to detect characteristics of a plurality of packet streams received at the switch interface and distribute the plurality of packet streams between the one or more hardware switches and software data plane components of the one or more data plane data plane processors based on the detected characteristics of the plurality of packet streams, such that at least one packet stream of the plurality of packet streams is designated to be processed by the one or more hardware switches.
  • a control device interplane control device, control plane processor, computer device and or any other electrical apparatus, device or processor
  • a switch interface to communicate with one or more hardware switches
  • a data plane interface to communicate with one or more data plane processors
  • processing circuitry to detect characteristics of a plurality of packet streams received at the switch interface and distribute the plurality of packet streams between the one or more hardware switches and
  • Example 2 the subject matter of Example 1 can optionally include wherein the processing circuitry is further configured to detect capability information for the one or more hardware switches, and wherein the processing circuitry distributes the plurality of packet streams based at least in part on the capability information for the one or more hardware switches.
  • Example 3 the subject matter of any of Examples 1-2 can optionally include wherein the processing circuitry is configured to direct simple packet streams to the one or more hardware switches, and wherein the processing circuitry determines whether a respective packet stream of the plurality of packet streams is a simple packet stream based on a number of central processing unit (CPU) machine cycles expected to be used by the respective packet stream.
  • CPU central processing unit
  • Example 4 the subject matter of any of Examples 1-3 can optionally include wherein the processing circuitry is configured to detect traffic load data corresponding to the plurality of packet streams, and to direct one or more packet streams to the one or more hardware switches based on the traffic load data.
  • Example 5 the subject matter of Example 4 can optionally include wherein the processing circuitry is further configured to detect that a packet processing workload has fallen below a threshold value; and provide a command to at least one processing core to cause the at least one processing core to enter a sleep mode responsive to the detecting.
  • Example 6 the subject matter of any of Examples 1-5 can optionally include wherein the processing circuitry is configured to program at least one hardware switch to execute a routing rule.
  • Example 7 the subject matter of Example 6 can optionally include wherein the routing rule includes a rule to direct packets of a packet stream to a Service Function (SF) executing on a field programmable gate array (FPGA).
  • SF Service Function
  • FPGA field programmable gate array
  • Example 8 the subject matter of any of Examples 1-7 can optionally include wherein the processing circuitry is further configured to program a hardware hint to instruct at least one hardware switch to direct packets to a target processing core for processing a corresponding packet stream.
  • Example 9 the subject matter of any of Examples 1-8 can optionally include wherein the processing circuitry executes on a processing core specific to the control device.
  • Example 10 the subject matter of any of Examples 1-9 can optionally include wherein the processing circuitry is distributed between two or more processing cores.
  • Example 11 includes subject matter such as a machine-readable medium including instructions that, when executed on a machine (such as a control device, interplane control device, control plane processor, computing device, NIC card, etc.) cause the machine to detect characteristics of a plurality of packet streams received at a switch interface, wherein the characteristics include whether a respective packet stream of the plurality of packet streams is a simple packet stream, based on a number of central processing unit (CPU) cycles expected to be used by the respective packet stream; and distribute the plurality of packet streams between a hardware switch and software data plane components based on the detected characteristics of the plurality of packet streams, such that simple packet streams of the plurality of packet streams are distributed to the hardware switch.
  • a machine such as a control device, interplane control device, control plane processor, computing device, NIC card, etc.
  • Example 12 the subject matter of Example 11 may optionally include further instructions to cause the machine to detect traffic load data on a network corresponding to the plurality of packet streams; and direct one or more packet streams to the one or more hardware switches based on traffic load characteristics.
  • Example 13 the subject matter of any of Examples 11-12 may optionally include further instructions to cause the machine to detect that a packet processing workload has fallen below a threshold value based on the detected traffic load characteristics; and instruct at least one processing core to enter a sleep mode responsive to the detecting.
  • Example 14 the subject matter of any of Examples 11-13 may optionally include instructions to cause the machine to distribute at least one packet stream to at least one hardware switch based on a rule stored in a Ternary Content-Addressable Memory (TCAM) corresponding to the at least one hardware switch.
  • TCAM Ternary Content-Addressable Memory
  • Example 15 the subject matter of Example 14 may optionally include wherein the rule is stored in the TCAM based on an algorithm for storing rules in the TCAM according to the detected traffic load characteristics.
  • Example 16 include a mechanism (e.g., a hardware switch, fixed-logic silicon switch, etc.) comprising ingress ports for receiving a plurality of packet streams; a control interface to communicate with a control device; and a data plane interface to communicate with one or more data plane processors, wherein the hardware switch is configured to receive, over the control interface, indications of which packet streams, of the plurality of packet streams, are designated to be processed by the hardware switch.
  • a mechanism e.g., a hardware switch, fixed-logic silicon switch, etc.
  • the hardware switch is configured to receive, over the control interface, indications of which packet streams, of the plurality of packet streams, are designated to be processed by the hardware switch.
  • Example 17 includes the subject matter of Example 16, and optionally wherein the hardware switch is further configured to provide capability information, over the control interface, to the control device.
  • Example 18 includes the subject matter of any of Examples 16-17, and optionally wherein the hardware switch is further configured to receive a hardware hint to instruct the hardware switch to direct packets to a target processing core for processing a corresponding packet stream.
  • Example 19 includes subject matter include a method, the method comprising detecting characteristics of a plurality of packet streams received at a switch interface; and distributing the plurality of packet streams between one or more hardware switches and one or more software data plane components based on detected characteristics of the plurality of packet streams.
  • Example 20 the subject matter of Example 19 can optionally include providing a hint field to a respective one of the one or more hardware switches that includes information regarding an action to be taken by the respective one of the one or more hardware switches in response to receiving a data packet.
  • Example 21 the subject matter of any of Examples 19-20 can optionally include detecting capability information for the one or more hardware switches; and distributing the plurality of packet streams based at least in part on capability information for the one or more hardware switches.
  • Example 22 the subject matter of any of Examples 19-21 can optionally include detecting which of the plurality of packet streams are simple packet streams based on a number of central processing unit (CPU) cycles expected to be used by a respective packet stream, to generate a set of simple packet streams; and distributing the set of simple packet streams among the one or more hardware switches.
  • CPU central processing unit
  • the terms “a” or “an” are used, as is common in patent documents, to include one or more than one, independent of any other instances or usages of “at least one” or “one or more.”
  • the term “or” is used to refer to a nonexclusive or, such that “A or B” includes “A but not B,” “B but not A,” and “A and B,” unless otherwise indicated.

Abstract

Devices and techniques for hardware accelerated packet processing are described herein. A device can communicate with one or more hardware switches. The device can detect characteristics of a plurality of packet streams. The device may distribute the plurality of packet streams between the one or more hardware switches and software data plane components based on the detected characteristics of the plurality of packet streams, such that at least one packet stream is designated to be processed by the one or more hardware switches. Other embodiments are also described.

Description

    CROSS-REFERENCE TO RELATED APPLICATION
  • This application is a continuation of U.S. patent application Ser. No. 14/750,085, filed Jun. 25, 2015, now Issued as U.S. Pat. No. 9,847,936, which is incorporated by reference herein in its entirety.
  • TECHNICAL FIELD
  • Embodiments described generally herein relate to processing of data packets sent or received through a network. Some embodiments relate to hardware acceleration of data packet processing.
  • BACKGROUND
  • Top-of-rack switches and special function hardware provide network functions including packet switching, security, deep packet inspection, and other functions. Recently, there has been a trend to provide virtual switches and network functions executing on high-volume computer architectures. Ongoing efforts are directed to improving coordination between switches to take advantage of speed benefits in hardware switches and flexibility and power of virtual switches.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • In the drawings, which are not necessarily drawn to scale, like numerals may describe similar components in different views. Like numerals having different letter suffixes may represent different instances of similar components. The drawings illustrate generally, by way of example, but not by way of limitation, various embodiments discussed in the present document.
  • FIG. 1 illustrates components of a switching platform that includes a control device for implementing methods in accordance with some embodiments.
  • FIG. 2 illustrates a control device in accordance with some embodiments.
  • FIG. 3 illustrates a service function forwarder usage model of a switching platform in accordance with some embodiments.
  • FIG. 4 illustrates an open virtual switch usage model of a switching platform in accordance with some embodiments.
  • FIG. 5 illustrates a connection tracker usage model of a switching platform in accordance with some embodiments.
  • FIG. 6 is a flow diagram of an example hardware-implemented method in accordance with some embodiments.
  • FIG. 7 is a block diagram of a hardware switch in accordance with some embodiments.
  • DETAILED DESCRIPTION
  • Some data centers use top-of-rack (ToR) switches and special function hardware to provide network functions including packet switching, security, deep packet inspection, and other functions. However, customers may experience reduced functionality caused by hardware limitations such as limited memory, limited Ternary Content-Addressable Memory (TCAM), reduced total number of supported data flows, etc. Furthermore, hardware switches may be overly rigid with respect to packet parsing, and hardware switches can exhibit a general lack of platform flexibility and configurability.
  • Recently, there has been a trend within data centers to provide software-defined networking (SDN) for decoupling network functions from underlying hardware, which can help increase agility and lower costs. Similarly, network function virtualization (NFV) can replace fixed-function hardware with implementations fully in software that run more cost-effectively on general purpose, standards-based servers. However, such software-defined systems may not take advantage of some desirable characteristics of hardware switches.
  • Embodiments provide a way to coordinate and manage, in a fine-grained fashion, multiple data plane components to utilize desirable features of both hardware switching and SDN/NFV usages. Control plane components include mechanisms to determine where traffic (e.g., data packets or flows) should be directed, while data plane components include mechanisms that forward traffic to those destinations. Embodiments provide control plane methods and apparatuses to coordinate multiple data plane components. Data plane components can include, by way of nonlimiting example, Data Plane Development Kit (DPDK) components, field programmable gate array (FPGA) components, and Red Rock Canyon (RRC) switch components available from Intel of Santa Clara, Calif., among other components. Methods in accordance with various embodiments can coordinate utilization of these and other components in a dynamic and flexible fashion based on user-defined policies to reduce or minimize energy consumption or to enhance speed and performance. In embodiments, a control plane can offload a simple fast packet-processing pipeline from software-based switches or virtual switches to switch hardware, while providing for more-complicated processing on the CPU-based software data plane. Additionally, methods and apparatuses described below with respect to various embodiments can provide scaling actions responsive to changes in a monitored network load for additional power and performance enhancement.
  • Apparatuses, in accordance with various embodiments described later herein, include a control device including a switch interface to communicate with a hardware switch or a set of hardware switches. The control device can be referred to as an interplane control device in some embodiments or implementations. In some embodiments or implementations, the control device can be referred to as a control plane processor. The control device further includes a data plane interface to communicate with one or more data plane processors. The control device further includes processing circuitry to distribute packet streams between the hardware switch and software data plane components based on the detected characteristics of the packet streams, as will be described in more detail later herein. In contrast, some other hardware-accelerated packet processing architecture does not take advantage of both software and hardware data plane components.
  • FIG. 1 illustrates components of a switching platform 100 that includes a control device 102 for implementing methods in accordance with various embodiments. The network operating system (in kernel or user space) runs on the switching platform 100 and, among other functionalities, manages a hardware switch 104, data plane processors 106, and associated accelerators programmed in the FPGA 108. The hardware switch 104 can include fixed-logic switch silicon (switch Si) circuitry or other hardware circuitry, and the hardware switch 104 can include a switch of the Intel® Ethernet Switch family, available from Intel Corporation of Santa Clara, Calif. Each of the data plane processors 106 are connected to the hardware switch 104 using very high-bandwidth, low-latency interconnects 110, which can support speeds of, for example, 10-40 Gigabit Ethernet (GbE). Additionally the data plane processors 106 are interconnected among each other to make a coherent fabric to access extended flow tables provided in random access memory (RAM) 112 of the switching platform 100, or to pass packets from one data plane processor 106 to the next, among other uses.
  • The control device 102 initializes the hardware switch 104 and programs the switch ports of the hardware switch 104 facing the data plane processors 106, using flexible interfaces, to provide scalable flow processing that can be adapted for various usage models described later herein with reference to FIGS. 3-5, in addition to other data center usage models. The hardware switch 104 also receives packet streams and connects to other devices or systems using Ethernet ports 111. The control device 102 can execute (e.g., “run”) on a specialized core in some embodiments. Alternatively, in other embodiments, the control device 102 (or processing circuitry of the control device 102) can be distributed among one or more Intel Architecture® (IA) cores 114, by way of nonlimiting example.
  • FIG. 2 illustrates an control device 102 in accordance with some embodiments. The control device 102 includes a switch interface 200 to communicate with one or more hardware switches (e.g., the hardware switch 104 (FIG. 1).
  • The control device 102 also includes a data plane interface 202 to communicate with one or more data plane processors 106 (FIG. 1).
  • The control device 102 includes processing circuitry 204 to perform functionalities as described later herein. It will be understood that any or all of the functions performed by processing circuitry 204 can be executed with hardware, software, firmware, or any combination thereof, on one or more processing cores, for example IA cores 114 or a core of the control device 102.
  • In embodiments, the processing circuitry 204 can detect characteristics of a plurality of packet streams that have been received at the switch interface 200. The processing circuitry 204 can distribute the plurality of packet streams between the one or more hardware switches (e.g., the hardware switch 104 (FIG. 1) and software data plane components based on the detected characteristics of the plurality of packet streams. Characteristics can include the complexity of a respective packet stream (measured in machine cycles), whether the packet stream is simply an I/O flow that does not use processing power, etc. Software data plane components can include elements for SDN or NFV functions as described earlier herein, and software data plane components can execute on IA cores 114.
  • The processing circuitry 204 can monitor packet streams and offload simple packet streams. The processing circuitry 204 can determine whether a packet stream is a simple packet stream based on processing power expected to be used by a respective packet stream (e.g., a packet stream is a simple packet stream if no or few central processing unit (CPU) machine cycles will be used to process a respective packet stream). The processing circuitry 204 can use any other criteria to determine which packet streams are simple packet streams, and the processing circuitry 204 may distribute other types of packet streams, other than simple packet streams, to hardware switches for further processing.
  • In embodiments, the processing circuitry 204 can distribute the plurality of packet streams such that at least one packet stream is designated to be processed by the one or more hardware switches. In embodiments, the processing circuitry 204 can detect capability information for the one or more hardware switches, and the processing circuitry 204 can distribute the plurality of packet streams based at least in part on capability information for the one or more hardware switches. Examples of capability information can include quality of service capabilities, whether the switch supports hardware accelerator capabilities to perform hardware-based lookup, support for encryption, etc.
  • The processing circuitry 204, as well as other components of the control device 102, can be implemented in a specialized core for control plane functionalities or, in some embodiments, some or all control plane functionalities can be distributed among a plurality of cores. Control plane functionalities are described in more detail below.
  • Control Plane Functionalities for Hardware Accelerated Software Packet Processing
  • As briefly mentioned earlier herein, hardware switch fabric with TCAM has the advantage of high throughput and low latency. However, hardware switches may lack flexibility and configurability. Additionally, hardware switches may have only limited TCAM capacity. On the other hand, IA software, or other software including DPDK components, can exhibit high throughput and enhanced flexibility relative to hardware components, but with tradeoffs in latency and power. Embodiments therefore take advantage of both hardware and software data plane components to achieve enhanced performance and energy efficiency. Any or all of the control plane functionalities described herein can be implemented by components of the control device 102 (FIGS. 1 and 2). For example, the processing circuitry 204 (FIG. 2) can implement one or more functionalities, on a specialized processing core or on a plurality of IA cores 114, by way of nonlimiting example.
  • The control device 102 supports hardware/software hybrid packet processing in various embodiments by enabling the hardware switch 104 (FIG. 1) to process as many packet streams as can be processed according to hardware limitations or other limitations, while directing other packet streams to software for processing. In some embodiments, less frequently-accessed packet streams, or special packet streams, may be distributed to software, rather than hardware. For example, flows not requiring a particular quality of service, such as web-based traffic (as opposed to video or voice traffic which can have latency or quality of service requirements) may be routed to software instead of hardware switches. Accordingly, embodiments can allow data center operators to take advantage of hardware to accelerate the packet processing while still allowing for flexible software packet processing for packet streams that have relatively more complex processing demands.
  • The control device 102 monitors network traffic, decides which packet streams should be processed by switch hardware, and uses a flexible interface to dynamically configure the multiple data planes to achieve enhanced performance. The control device 102 can implement a variety of algorithms to decide which packet streams should be cached in TCAM.
  • The control device 102 can perform hardware-assisted load balancing. For example, processing circuitry 204 (FIG. 2) of the control device 102 can detect traffic load characteristics or data corresponding to the plurality of packet streams, and direct one or more packet streams to the one or more hardware switches based on traffic load characteristics. In examples, the traffic load can be detected based on traffic patterns observed at Ethernet ports 111 of the hardware switch 104 (FIG. 1).
  • In embodiments, the control device 102 provides hardware packet processing hints to hardware switch 104 (FIG. 1) so that the hardware switch 104 can direct packets of the packet stream to an appropriate target core. The target core can include a processor, software application, or other module that will process the packet stream. The control device 102 may provide these hints based on context awareness in some embodiments, or on any other criteria or user-defined request.
  • The control device 102 may provide enhanced performance or energy efficiency by determining, based on network load or other criteria, how many processing cores (e.g., IA cores 114, FIG. 1) must remain active to keep up with demanded packet processing speed. Instead of statically binding ports to core, the control device 102 may then provide hints to the hardware switch 104 to direct packet streams to those active cores, while keeping other cores in an inactive, or power-saving state.
  • Usage Models
  • The control device 102 described above can be used in a variety of systems or networks in accordance with various usage models. FIG. 3 illustrates a service function forwarder usage model of a switching platform 300 in accordance with some embodiments. The control device 102 can program the hardware switch 104 with a routing rule. For example, the control device 102 can program the hardware switch 104 with a rule (using the interconnect 110) to steer traffic targeted for a Service Function Forwarder (SFF) 301 instance executing (e.g., “running”) on one of more data plane processors 106. In various embodiments, the SFF 301 can use an available interface to pass the packets to the Service Functions (SF) 302. SF 302 can execute within FPGA 108, although embodiments are not limited thereto. An SF is a function that is responsible for specific treatment of received packets. An SF can act at the network layer or other open systems interconnection (OSI) layers. An SF can be a virtual instance of a function or an SF can be embedded in a physical network element. One of multiple SFs can be embedded in the same network element. Multiple instances of the SF can be enabled in the same administrative domain. SFs can include, by way of nonlimiting example, firewalls, wireless area network (WAN) and application acceleration, Deep Packet Inspection (DPI), server load balancers, transport control protocol (TCP) optimizers, etc.
  • Other usage models are also available in some embodiments. For example, FIG. 4 illustrates an open virtual switch usage model of a switching platform 400 in accordance with some embodiments. In at least this embodiment, the hardware switch 104 is abstracted as an Open Virtual Switch (OVS) data plane. The hardware switch 104 includes flow tables 402 that include rules for routing packet streams. Because only a limited number of flows can be supported in the hardware switch 104 due to space limitations and hardware limitations, the flow tables 402 can cooperate with extended flow tables 404 stored in, for example, system RAM 112. The extended flow tables 404 can provide for greater scalability than can be achieved with hardware-only switching. When used with DPDK packet processing, high-speed software switching (e.g., CuckooSwitching), and application programming interfaces (APIs) for dynamic configuration, data center operators can extend the packet processing pipeline beyond the hardcoded pipeline in the hardware switch 104 while still maintaining high performance as is typically a feature of hardware switching. Additionally, the switching platform 400 allows flows with some of the stateful actions beyond those that can be performed with some available fixed-logic hardware switches.
  • FIG. 5 illustrates a connection tracker usage model of a switching platform 500 in accordance with some embodiments. In at least these embodiments, in addition to optionally providing flow tables 502 at the hardware switch 104, an application delivery controller (ADC) instance 504 can execute on one or more of the data plane processors 106. Rules included in the flow tables 502 can route application traffic among various ports facing the data plane processors 106. The flow tables 502 can be the same as, or similar to, the flow tables 402 (FIG. 4).
  • The ADC instance 504 executing on each data plane processor 106 can provide a stateful connection tracker for monitoring connections. The connection tracker tracks individual or, in some cases, aggregate flow characteristics. For example the connection tracker can track the number of packets sent or received per second, the number of bytes sent or received, the types of packets being transmitted by the flow, etc. Two examples of types of packets include TCP-SYN packets, which open connections, and TCP-FIN packets, which close existing connections. The connection tracker can track this information or other information for security purposes to prevent against attack, to provide better quality of service for certain flows that are more active than other flows, etc.
  • Example Methods
  • Various methods can be implemented in accordance with various embodiments to perform functions of usage models described above, as well as other usage models. FIG. 6 is a flow diagram of an example method 600 in accordance with some embodiments. A control device, for example the control device 102, as described above with respect to FIG. 1 or elements thereof described with reference to FIG. 2, can perform operations of the example method 600. Accordingly, the example method 600 will be described with reference to components of FIG. 2. For example, processing circuitry 204 can perform one or more operations of example method 600.
  • The example method 600 begins with operation 602 with the processing circuitry 204 detecting characteristics of a plurality of packet streams received at a switch interface 200. In embodiments, the packet streams may ultimately have been received at Ethernet ports 111 of the hardware switch 104,
  • The example method 600 continues with operation 602 with the processing circuitry 204 distributing the plurality of packet streams between one or more hardware switches (e.g., hardware switch 104) and one or more data plane components based on detected characteristics of the plurality of packet streams.
  • In embodiments, the example method 600 can include the control device 102 providing a hint field to a respective one of the one or more hardware switches (e.g., hardware switch 104) that includes information regarding an action to be taken by the respective one of the one or more hardware switches in response to receiving the data packet. In embodiments, the example method 600 can include detecting capability information for the one or more hardware switches and distributing the plurality of packet streams based at least in part on capability information for the one or more hardware switches.
  • The example method 600 can include additional operations such as, for example, detecting traffic load characteristics corresponding to the plurality of packet streams and directing one or more packet streams to the one or more hardware switches based on traffic load characteristics. Traffic load characteristics can be detected based on observed data at Ethernet ports of the hardware switch 104 (FIG. 1)
  • The example method 600 can include detecting that a packet processing workload has fallen below a threshold value based on the detected traffic load characteristics and instructing at least one processing core to enter a sleep mode responsive to the detecting.
  • The example method 600 can include any other operations or functionalities of an control device 102 or usage model thereof, described above with respect to FIGS. 1-5. Operations can be performed in any order or in parallel where appropriate. The method 600 can be performed by hardware, firmware, software, or any combination thereof.
  • Examples, as described herein, may include, or may operate on, logic or a number of components, modules, or mechanisms. Modules are tangible entities (e.g., hardware) capable of performing specified operations and may be configured or arranged in a certain manner. In an example, circuits may be arranged (e.g., internally or with respect to external entities such as other circuits) in a specified manner as a module. In an example, at least a part of one or more computer systems (e.g., a standalone, client or server computer system) or one or more processors of the control device 102 may be configured by firmware or software (e.g., instructions 205 (FIG. 2), an application portion, or an application) as a module that operates to perform specified operations. In an example, the software may reside on at least one machine-readable medium. In an example, the software, when executed by the underlying hardware of the module (e.g., the control device 102), can include instructions 205 (FIG. 2) to cause the hardware to perform the specified operations.
  • For example, instructions 205 can cause hardware to detect characteristics of a plurality of packet streams received at a switch interface or at Ethernet ports of fixed logic hardware switches. The characteristics can include whether a respective packet stream of the plurality of packet streams is a simple packet stream, based on a number of central processing unit (CPU) machine cycles are expected to be used by the respective packet stream. The instructions 205 can cause the hardware to distribute the plurality of packet streams between a hardware switch and software data plane components based on detected characteristics of the plurality of packet streams, such that simple packet streams of the plurality of packet streams are distributed to the hardware switch.
  • In various embodiments, the instructions 205 can optionally cause the hardware to detect traffic load characteristics corresponding to the plurality of packet streams and to direct one or more packet streams to the one or more hardware switches based on traffic load characteristics. As described earlier herein, traffic load characteristics can be detected by observing data and traffic patterns at the Ethernet ports 111 of hardware switch 104 (FIG. 1) The instructions 205 can cause the hardware to detect that a packet processing workload has fallen below a threshold value based on the detected traffic load characteristics, and to instructing at least one processing core (e.g., IA cores 114) to enter a sleep mode responsive to the detecting.
  • In some embodiments, the instructions 205 can cause the hardware to distribute at least one packet stream to the at least one hardware switch (e.g., hardware switch 104) based on a rule stored in a TCAM corresponding to the at least one hardware switch. In embodiments, the hardware may store the rule in the TCAM based on an algorithm for storing rules in TCAM according to the detected traffic load characteristics.
  • The term “module” is understood to encompass a tangible entity, be that an entity that is physically constructed, specifically configured (e.g., hardwired), or temporarily (e.g., transitorily) configured (e.g., programmed) to operate in a specified manner or to perform at least part of any operation described herein. Considering examples in which modules are temporarily configured, a module need not be instantiated at any one moment in time. For example, where the modules comprise a general-purpose hardware processor configured using software; the general-purpose hardware processor may be configured as respective different modules at different times. Software may accordingly configure a hardware processor, for example, to constitute a particular module at one instance of time and to constitute a different module at a different instance of time. The term “application,” or variants thereof, is used expansively herein to include routines, program modules, programs, components, and the like, and may be implemented on various system configurations, including single-processor or multiprocessor systems, microprocessor-based electronics, single-core or multi-core systems, combinations thereof, and the like. Thus, the term application may be used to refer to an embodiment of software or to hardware arranged to perform at least part of any operation described herein.
  • While a machine-readable medium may include a single medium, the term “machine-readable medium” may include a single medium or multiple media (e.g., a centralized or distributed database, and/or associated caches and servers).
  • The term “machine-readable medium” may include any medium that is capable of storing, encoding, or carrying instructions 205 for execution by a machine (e.g., the control device 102 or any other module) and that cause the machine to perform any one or more of the techniques of the present disclosure, or that is capable of storing, encoding or carrying data structures used by or associated with such instructions. In other words, the processing circuitry 204 (FIG. 2) can include instructions and can therefore be termed a machine-readable medium in the context of various embodiments. Other non-limiting machine-readable medium examples may include solid-state memories, and optical and magnetic media. Specific examples of machine-readable media may include: non-volatile memory, such as semiconductor memory devices (e.g., Electrically Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM)) and flash memory devices; magnetic disks, such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks.
  • The instructions 205 may further be transmitted or received over a communications network using a transmission medium utilizing any one of a number of transfer protocols (e.g., frame relay, internet protocol (IP), TCP, user datagram protocol (UDP), hypertext transfer protocol (HTTP), etc.). Example communication networks may include a local area network (LAN), a wide area network (WAN), a packet data network (e.g., the Internet), mobile telephone networks ((e.g., channel access methods including Code Division Multiple Access (CDMA), Time-division multiple access (TDMA), Frequency-division multiple access (FDMA), and Orthogonal Frequency Division Multiple Access (OFDMA) and cellular networks such as Global System for Mobile Communications (GSM), Universal Mobile Telecommunications System (UMTS), CDMA 2000 1×* standards and Long Term Evolution (LTE)), Plain Old Telephone (POTS) networks, and wireless data networks (e.g., Institute of Electrical and Electronics Engineers (IEEE) 802 family of standards including IEEE 802.11 standards (WiFi), IEEE 802.16 standards (WiMax®) and others), peer-to-peer (P2P) networks, or other protocols now known or later developed.
  • The term “transmission medium” shall be taken to include any intangible medium that is capable of storing, encoding or carrying instructions for execution by hardware processing circuitry, and includes digital or analog communications signals or other intangible medium to facilitate communication of such software.
  • FIG. 7 is a block diagram of a hardware switch 104 in accordance with some embodiments. The hardware switch 104 includes ingress ports 702 for receiving a plurality of packet streams. The ingress ports 702 can also be referred to as Ethernet ports, communication ports, etc.
  • The hardware switch 104 includes a control interface 704 to communicate with a control device 102 and a switch data plane interface 706 to communicate with one or more data plane processors 106.
  • The hardware switch 104 is configured to receive, over the control interface 704, indications of which packet streams, of the plurality of packet streams, are designated to be processed by the hardware switch 104 according to embodiments described above. As described earlier herein, the hardware switch 104 can provide capability information, over the control interface 704, to the control device 102, and the hardware switch 104 can receive a hardware hint to instruct the hardware switch 104 to direct packets to a target processing core for processing a corresponding packet stream.
  • Additional Notes & Examples
  • Example 1 includes subject matter (such as a control device, interplane control device, control plane processor, computer device and or any other electrical apparatus, device or processor) including a switch interface to communicate with one or more hardware switches; a data plane interface to communicate with one or more data plane processors; and processing circuitry to detect characteristics of a plurality of packet streams received at the switch interface and distribute the plurality of packet streams between the one or more hardware switches and software data plane components of the one or more data plane data plane processors based on the detected characteristics of the plurality of packet streams, such that at least one packet stream of the plurality of packet streams is designated to be processed by the one or more hardware switches.
  • In Example 2, the subject matter of Example 1 can optionally include wherein the processing circuitry is further configured to detect capability information for the one or more hardware switches, and wherein the processing circuitry distributes the plurality of packet streams based at least in part on the capability information for the one or more hardware switches.
  • In Example 3, the subject matter of any of Examples 1-2 can optionally include wherein the processing circuitry is configured to direct simple packet streams to the one or more hardware switches, and wherein the processing circuitry determines whether a respective packet stream of the plurality of packet streams is a simple packet stream based on a number of central processing unit (CPU) machine cycles expected to be used by the respective packet stream.
  • In Example 4, the subject matter of any of Examples 1-3 can optionally include wherein the processing circuitry is configured to detect traffic load data corresponding to the plurality of packet streams, and to direct one or more packet streams to the one or more hardware switches based on the traffic load data.
  • In Example 5, the subject matter of Example 4 can optionally include wherein the processing circuitry is further configured to detect that a packet processing workload has fallen below a threshold value; and provide a command to at least one processing core to cause the at least one processing core to enter a sleep mode responsive to the detecting.
  • In Example 6, the subject matter of any of Examples 1-5 can optionally include wherein the processing circuitry is configured to program at least one hardware switch to execute a routing rule.
  • In Example 7, the subject matter of Example 6 can optionally include wherein the routing rule includes a rule to direct packets of a packet stream to a Service Function (SF) executing on a field programmable gate array (FPGA).
  • In Example 8, the subject matter of any of Examples 1-7 can optionally include wherein the processing circuitry is further configured to program a hardware hint to instruct at least one hardware switch to direct packets to a target processing core for processing a corresponding packet stream.
  • In Example 9, the subject matter of any of Examples 1-8 can optionally include wherein the processing circuitry executes on a processing core specific to the control device.
  • In Example 10, the subject matter of any of Examples 1-9 can optionally include wherein the processing circuitry is distributed between two or more processing cores.
  • Example 11 includes subject matter such as a machine-readable medium including instructions that, when executed on a machine (such as a control device, interplane control device, control plane processor, computing device, NIC card, etc.) cause the machine to detect characteristics of a plurality of packet streams received at a switch interface, wherein the characteristics include whether a respective packet stream of the plurality of packet streams is a simple packet stream, based on a number of central processing unit (CPU) cycles expected to be used by the respective packet stream; and distribute the plurality of packet streams between a hardware switch and software data plane components based on the detected characteristics of the plurality of packet streams, such that simple packet streams of the plurality of packet streams are distributed to the hardware switch.
  • In Example 12, the subject matter of Example 11 may optionally include further instructions to cause the machine to detect traffic load data on a network corresponding to the plurality of packet streams; and direct one or more packet streams to the one or more hardware switches based on traffic load characteristics.
  • In Example 13, the subject matter of any of Examples 11-12 may optionally include further instructions to cause the machine to detect that a packet processing workload has fallen below a threshold value based on the detected traffic load characteristics; and instruct at least one processing core to enter a sleep mode responsive to the detecting.
  • In Example 14, the subject matter of any of Examples 11-13 may optionally include instructions to cause the machine to distribute at least one packet stream to at least one hardware switch based on a rule stored in a Ternary Content-Addressable Memory (TCAM) corresponding to the at least one hardware switch.
  • In Example 15, the subject matter of Example 14 may optionally include wherein the rule is stored in the TCAM based on an algorithm for storing rules in the TCAM according to the detected traffic load characteristics.
  • Example 16 include a mechanism (e.g., a hardware switch, fixed-logic silicon switch, etc.) comprising ingress ports for receiving a plurality of packet streams; a control interface to communicate with a control device; and a data plane interface to communicate with one or more data plane processors, wherein the hardware switch is configured to receive, over the control interface, indications of which packet streams, of the plurality of packet streams, are designated to be processed by the hardware switch.
  • Example 17 includes the subject matter of Example 16, and optionally wherein the hardware switch is further configured to provide capability information, over the control interface, to the control device.
  • Example 18 includes the subject matter of any of Examples 16-17, and optionally wherein the hardware switch is further configured to receive a hardware hint to instruct the hardware switch to direct packets to a target processing core for processing a corresponding packet stream.
  • Example 19 includes subject matter include a method, the method comprising detecting characteristics of a plurality of packet streams received at a switch interface; and distributing the plurality of packet streams between one or more hardware switches and one or more software data plane components based on detected characteristics of the plurality of packet streams.
  • In Example 20, the subject matter of Example 19 can optionally include providing a hint field to a respective one of the one or more hardware switches that includes information regarding an action to be taken by the respective one of the one or more hardware switches in response to receiving a data packet.
  • In Example 21, the subject matter of any of Examples 19-20 can optionally include detecting capability information for the one or more hardware switches; and distributing the plurality of packet streams based at least in part on capability information for the one or more hardware switches.
  • In Example 22, the subject matter of any of Examples 19-21 can optionally include detecting which of the plurality of packet streams are simple packet streams based on a number of central processing unit (CPU) cycles expected to be used by a respective packet stream, to generate a set of simple packet streams; and distributing the set of simple packet streams among the one or more hardware switches.
  • The above detailed description includes references to the accompanying drawings, which form a part of the detailed description. The drawings show, by way of illustration, specific embodiments that may be practiced. These embodiments are also referred to herein as “examples.” Such examples may include elements in addition to those shown or described. However, also contemplated are examples that include the elements shown or described. Moreover, also contemplate are examples using any combination or permutation of those elements shown or described (or one or more aspects thereof), either with respect to a particular example (or one or more aspects thereof), or with respect to other examples (or one or more aspects thereof) shown or described herein.
  • Publications, patents, and patent documents referred to in this document are incorporated by reference herein in their entirety, as though individually incorporated by reference. In the event of inconsistent usages between this document and those documents so incorporated by reference, the usage in the incorporated reference(s) are supplementary to that of this document; for irreconcilable inconsistencies, the usage in this document controls.
  • In this document, the terms “a” or “an” are used, as is common in patent documents, to include one or more than one, independent of any other instances or usages of “at least one” or “one or more.” In this document, the term “or” is used to refer to a nonexclusive or, such that “A or B” includes “A but not B,” “B but not A,” and “A and B,” unless otherwise indicated. In the appended claims, the terms “including” and “in which” are used as the plain-English equivalents of the respective terms “comprising” and “wherein.” Also, in the following claims, the terms “including” and “comprising” are open-ended, that is, a system, device, article, or process that includes elements in addition to those listed after such a term in a claim are still deemed to fall within the scope of that claim. Moreover, in the following claims, the terms “first,” “second,” and “third,” etc. are used merely as labels, and are not intended to suggest a numerical order for their objects.
  • The above description is intended to be illustrative, and not restrictive. For example, the above-described examples (or one or more aspects thereof) may be used in combination with others. Other embodiments may be used, such as by one of ordinary skill in the art upon reviewing the above description. The Abstract is to allow the reader to quickly ascertain the nature of the technical disclosure and is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. Also, in the above Detailed Description, various features may be grouped together to streamline the disclosure. However, the claims may not set forth features disclosed herein because embodiments may include a subset of said features. Further, embodiments may include fewer features than those disclosed in a particular example. Thus, the following claims are hereby incorporated into the Detailed Description, with a claim standing on its own as a separate embodiment. The scope of the embodiments disclosed herein is to be determined with reference to the appended claims, along with the full scope of equivalents to which such claims are entitled.

Claims (20)

1. (canceled)
2. A hardware switch comprising:
ingress ports for receiving a plurality of packet streams;
a control interface to communicate with a control device; and
a data plane interface to communicate with one or more data plane processors, wherein the hardware switch is configured to provide capability information to the control interface and to receive, over the control interface, indications of which packet streams, of the plurality of packet streams, are designated to be processed by the hardware switch based on the capability information.
3. The hardware switch of claim 2, wherein the capability information includes quality of service capabilities.
4. The hardware switch of claim 2, wherein the capability information includes information as to whether the switch supports hardware accelerator capabilities.
5. The hardware switch of claim 2, wherein the hardware switch is configured with a routing rule to steer traffic targeted for a Service Function Forwarder (SFF) instance executing on the one or more data plane processors.
6. The hardware switch of claim 2, further including one or more flow tables to store rules for routing packet streams.
7. The hardware switch of claim 6, wherein the hardware switch is further configured to store extended flow tables in random access memory (RAM).
8. The hardware switch of claim 2, wherein the hardware switch is further configured to receive a hardware hint to instruct the hardware switch to direct packets to a target processing core for processing a corresponding packet stream.
9. A control device comprising:
a switch interface to communicate with one or more hardware switches;
a data plane interface to communicate with one or more data plane processors; and
processing circuitry configured to:
detect characteristics of a plurality of packet streams received at the switch interface, and
distribute at least one of the plurality of packet streams to the one or more hardware switches hardware switches based on the characteristics.
10. The control device of claim 9, wherein the packet streams are distributed such that less-frequently-accessed packet streams are directed to software data plane components and more-frequently-accessed packet streams are directed to one or more hardware switches.
11. The control device of claim 9, wherein the characteristics include whether the packet streams are comprised solely of input/output (I/O) flows and the amount of processing power expected to be used by the packet streams.
12. The control device of claim 9, wherein the processing circuitry is configured to program at least one of the one or more hardware switches with a rule to steer traffic targeted for a Service Function Forwarder (SFF) instance executing on the one or more data plane processors.
13. The control device of claim 9, wherein the processing circuitry is further configured to:
detect capability information for the one or more hardware switches, and wherein the processing circuitry distributes the plurality of packet streams based at least in part on the capability information for the one or more hardware switches.
14. The control device of claim 9, wherein the processing circuitry is configured to direct simple packet streams to the one or more hardware switches, and wherein the processing circuitry determines whether a respective packet stream of the plurality of packet streams is a simple packet stream based on a number of central processing unit (CPU) machine cycles expected to be used by the respective packet stream.
15. The control device of claim 14, wherein the processing circuitry is configured to detect traffic load data corresponding to the plurality of packet streams, and to direct one or more packet streams to the one or more hardware switches based on the traffic load data.
16. A system comprising:
a control device;
a software data plane component to communicate to the control device using a data plane inter face; and
a hardware switch to communicate with the control device over a switch interface, wherein the control device is configured to distribute packet streams between the software data plane component and the hardware switch based on characteristics of the packet streams.
17. The system of claim 16, wherein the software data plane component includes software-defined networking (SDN) element.
18. The system of claim 16, wherein the software data plane component includes a network function virtualization (NFV) component.
19. The system of claim 16, wherein the control device executes on a processing core specific to the control device.
20. The control device of claim 16, wherein the control device functionality is distributed between two or more processing cores.
US15/845,107 2015-06-25 2017-12-18 Apparatus and method for hardware-accelerated packet processing Abandoned US20180337850A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US15/845,107 US20180337850A1 (en) 2015-06-25 2017-12-18 Apparatus and method for hardware-accelerated packet processing

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US14/750,085 US9847936B2 (en) 2015-06-25 2015-06-25 Apparatus and method for hardware-accelerated packet processing
US15/845,107 US20180337850A1 (en) 2015-06-25 2017-12-18 Apparatus and method for hardware-accelerated packet processing

Related Parent Applications (1)

Application Number Title Priority Date Filing Date
US14/750,085 Continuation US9847936B2 (en) 2015-06-25 2015-06-25 Apparatus and method for hardware-accelerated packet processing

Publications (1)

Publication Number Publication Date
US20180337850A1 true US20180337850A1 (en) 2018-11-22

Family

ID=57586233

Family Applications (2)

Application Number Title Priority Date Filing Date
US14/750,085 Active 2036-02-05 US9847936B2 (en) 2015-06-25 2015-06-25 Apparatus and method for hardware-accelerated packet processing
US15/845,107 Abandoned US20180337850A1 (en) 2015-06-25 2017-12-18 Apparatus and method for hardware-accelerated packet processing

Family Applications Before (1)

Application Number Title Priority Date Filing Date
US14/750,085 Active 2036-02-05 US9847936B2 (en) 2015-06-25 2015-06-25 Apparatus and method for hardware-accelerated packet processing

Country Status (4)

Country Link
US (2) US9847936B2 (en)
EP (1) EP3314448B1 (en)
CN (1) CN107820696B (en)
WO (1) WO2016209587A1 (en)

Families Citing this family (46)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9672239B1 (en) * 2012-10-16 2017-06-06 Marvell Israel (M.I.S.L.) Ltd. Efficient content addressable memory (CAM) architecture
US9847936B2 (en) * 2015-06-25 2017-12-19 Intel Corporation Apparatus and method for hardware-accelerated packet processing
US9967136B2 (en) * 2016-03-28 2018-05-08 Dell Products L.P. System and method for policy-based smart placement for network function virtualization
EP3479402B1 (en) * 2016-06-30 2021-10-27 INTEL Corporation Method and apparatus for remote field programmable gate array processing
US11122115B1 (en) * 2016-12-19 2021-09-14 International Business Machines Corporation Workload distribution in a data network
EP3343843B1 (en) * 2016-12-30 2020-09-30 Alcatel Lucent A control plane system and method for managing a data plane amongst a plurality of equipments
US10326696B2 (en) 2017-01-02 2019-06-18 Microsoft Technology Licensing, Llc Transmission of messages by acceleration components configured to accelerate a service
US10425472B2 (en) * 2017-01-17 2019-09-24 Microsoft Technology Licensing, Llc Hardware implemented load balancing
US10476673B2 (en) 2017-03-22 2019-11-12 Extrahop Networks, Inc. Managing session secrets for continuous packet capture systems
CN110710139A (en) 2017-03-29 2020-01-17 芬基波尔有限责任公司 Non-blocking full mesh data center network with optical displacers
CN110731070A (en) 2017-03-29 2020-01-24 芬基波尔有限责任公司 Non-blocking arbitrary to arbitrary data center networks with grouped injection via multiple alternate data paths
US10637685B2 (en) 2017-03-29 2020-04-28 Fungible, Inc. Non-blocking any-to-any data center network having multiplexed packet spraying within access node groups
US10565112B2 (en) 2017-04-10 2020-02-18 Fungible, Inc. Relay consistent memory management in a multiple processor system
WO2019014265A1 (en) 2017-07-10 2019-01-17 Fungible, Inc. Data processing unit for compute nodes and storage nodes
CN117348976A (en) 2017-07-10 2024-01-05 微软技术许可有限责任公司 Data processing unit for stream processing
WO2019068017A1 (en) 2017-09-29 2019-04-04 Fungible, Inc. Resilient network communication using selective multipath packet flow spraying
WO2019068013A1 (en) 2017-09-29 2019-04-04 Fungible, Inc. Fabric control protocol for data center networks with packet spraying over multiple alternate data paths
US9967292B1 (en) 2017-10-25 2018-05-08 Extrahop Networks, Inc. Inline secret sharing
US10841245B2 (en) 2017-11-21 2020-11-17 Fungible, Inc. Work unit stack data structures in multiple core processor system for stream data processing
CN115037575A (en) 2017-12-26 2022-09-09 华为技术有限公司 Message processing method and device
US10341206B1 (en) 2017-12-27 2019-07-02 Extrahop Networks, Inc. Network packet de-duplication
US10540288B2 (en) 2018-02-02 2020-01-21 Fungible, Inc. Efficient work unit processing in a multicore system
US10389574B1 (en) 2018-02-07 2019-08-20 Extrahop Networks, Inc. Ranking alerts based on network monitoring
US10038611B1 (en) 2018-02-08 2018-07-31 Extrahop Networks, Inc. Personalization of alerts based on network monitoring
US10270794B1 (en) 2018-02-09 2019-04-23 Extrahop Networks, Inc. Detection of denial of service attacks
US10411978B1 (en) 2018-08-09 2019-09-10 Extrahop Networks, Inc. Correlating causes and effects associated with network activity
US10594718B1 (en) 2018-08-21 2020-03-17 Extrahop Networks, Inc. Managing incident response operations based on monitored network activity
CN109495293B (en) * 2018-10-25 2022-01-11 锐捷网络股份有限公司 Method, system, equipment and storage medium for testing control surface of switch
US10929175B2 (en) 2018-11-21 2021-02-23 Fungible, Inc. Service chaining hardware accelerators within a data stream processing integrated circuit
US11349781B1 (en) 2019-05-13 2022-05-31 Barefoot Networks, Inc. Recording in an external memory data messages processed by a data plane circuit
WO2020236261A1 (en) * 2019-05-23 2020-11-26 Cray Inc. Dragonfly routing with incomplete group connectivity
US10965702B2 (en) * 2019-05-28 2021-03-30 Extrahop Networks, Inc. Detecting injection attacks using passive network monitoring
US11165814B2 (en) 2019-07-29 2021-11-02 Extrahop Networks, Inc. Modifying triage information based on network monitoring
US11388072B2 (en) 2019-08-05 2022-07-12 Extrahop Networks, Inc. Correlating network traffic that crosses opaque endpoints
US10742530B1 (en) 2019-08-05 2020-08-11 Extrahop Networks, Inc. Correlating network traffic that crosses opaque endpoints
US10742677B1 (en) 2019-09-04 2020-08-11 Extrahop Networks, Inc. Automatic determination of user roles and asset types based on network monitoring
US11636154B2 (en) 2019-09-26 2023-04-25 Fungible, Inc. Data flow graph-driven analytics platform using data processing units having hardware accelerators
US11636115B2 (en) 2019-09-26 2023-04-25 Fungible, Inc. Query processing using data processing units having DFA/NFA hardware accelerators
US11165823B2 (en) 2019-12-17 2021-11-02 Extrahop Networks, Inc. Automated preemptive polymorphic deception
US11463466B2 (en) 2020-09-23 2022-10-04 Extrahop Networks, Inc. Monitoring encrypted network traffic
EP4218212A1 (en) 2020-09-23 2023-08-02 ExtraHop Networks, Inc. Monitoring encrypted network traffic
US11349861B1 (en) 2021-06-18 2022-05-31 Extrahop Networks, Inc. Identifying network entities based on beaconing activity
US11765092B2 (en) * 2021-06-22 2023-09-19 Hewlett Packard Enterprise Development Lp System and method for scaling data path processing with offload engines in control plane
US20230060132A1 (en) * 2021-08-25 2023-03-02 Red Hat, Inc. Coordinating data packet processing between kernel space and user space
US11296967B1 (en) 2021-09-23 2022-04-05 Extrahop Networks, Inc. Combining passive network analysis and active probing
US11843606B2 (en) 2022-03-30 2023-12-12 Extrahop Networks, Inc. Detecting abnormal data access based on data similarity

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040103215A1 (en) * 2002-11-26 2004-05-27 Bmc Software, Inc. Selective compression of web-based data transmissions
US7460473B1 (en) * 2003-02-14 2008-12-02 Istor Networks, Inc. Network receive interface for high bandwidth hardware-accelerated packet processing
US20100312718A1 (en) * 2004-06-08 2010-12-09 Rosenthal Collins Group, L.L.C. Method and system for providing electronic information for risk assesement and management via net worth for multi-market electronic trading
US20110243155A1 (en) * 2010-03-30 2011-10-06 Shunichi Gondo Computer device, receiving device, receiving method, and computer readable storage medium storing instructions of a computer program thereof
WO2013044956A1 (en) * 2011-09-28 2013-04-04 Telefonaktiebolaget L M Ericsson (Publ) Centralized data plane flow control
US20140229630A1 (en) * 2013-02-08 2014-08-14 Dell Products, Lp System and Method for Dataplane Extensibility in a Flow-based Switching Device
US20140330937A1 (en) * 2013-05-03 2014-11-06 Microsoft Corporation End-to-end classification of storage traffic streams
US20150172182A1 (en) * 2013-12-18 2015-06-18 Samsung Electronics Co., Ltd. Method and apparatus for controlling virtual switching
US20150236948A1 (en) * 2014-02-14 2015-08-20 Futurewei Technologies, Inc. Restoring service functions after changing a service chain instance path
US20160028625A1 (en) * 2014-07-22 2016-01-28 Alcatel-Lucent Usa Inc. Packet forwarding based on path encoding
US20160065454A1 (en) * 2014-08-27 2016-03-03 International Business Machines Corporation Reporting static flows to a switch controller in a software-defined network (sdn)
US9847936B2 (en) * 2015-06-25 2017-12-19 Intel Corporation Apparatus and method for hardware-accelerated packet processing

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7535898B2 (en) 2003-11-06 2009-05-19 Intel Corporation Distributed switch memory architecture
WO2007120902A2 (en) 2006-04-14 2007-10-25 Hammerhead Systems, Inc. Hybrid data switching for efficient packet processing
US8304874B2 (en) * 2006-12-09 2012-11-06 Stats Chippac Ltd. Stackable integrated circuit package system
US8125984B2 (en) * 2008-03-21 2012-02-28 International Business Machines Corporation Method, system, and computer program product for implementing stream processing using a reconfigurable optical switch
US9525647B2 (en) 2010-07-06 2016-12-20 Nicira, Inc. Network control apparatus and method for creating and modifying logical switching elements
US8391174B2 (en) * 2010-07-13 2013-03-05 Hewlett-Packard Development Company, L.P. Data packet routing
CN104040958B (en) * 2012-01-10 2017-03-22 三菱电机株式会社 Network system
EP2819356A4 (en) * 2012-02-20 2015-09-30 Nec Corp Network system, and method for improving resource usage
US8804723B2 (en) 2012-04-23 2014-08-12 Telefonaktiebolaget L M Ericsson (Publ) Efficient control packet replication in data plane
US9065768B2 (en) 2012-12-28 2015-06-23 Futurewei Technologies, Inc. Apparatus for a high performance and highly available multi-controllers in a single SDN/OpenFlow network
US9118984B2 (en) * 2013-03-15 2015-08-25 International Business Machines Corporation Control plane for integrated switch wavelength division multiplexing

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040103215A1 (en) * 2002-11-26 2004-05-27 Bmc Software, Inc. Selective compression of web-based data transmissions
US7460473B1 (en) * 2003-02-14 2008-12-02 Istor Networks, Inc. Network receive interface for high bandwidth hardware-accelerated packet processing
US20100312718A1 (en) * 2004-06-08 2010-12-09 Rosenthal Collins Group, L.L.C. Method and system for providing electronic information for risk assesement and management via net worth for multi-market electronic trading
US20110243155A1 (en) * 2010-03-30 2011-10-06 Shunichi Gondo Computer device, receiving device, receiving method, and computer readable storage medium storing instructions of a computer program thereof
WO2013044956A1 (en) * 2011-09-28 2013-04-04 Telefonaktiebolaget L M Ericsson (Publ) Centralized data plane flow control
US20140229630A1 (en) * 2013-02-08 2014-08-14 Dell Products, Lp System and Method for Dataplane Extensibility in a Flow-based Switching Device
US20140330937A1 (en) * 2013-05-03 2014-11-06 Microsoft Corporation End-to-end classification of storage traffic streams
US20150172182A1 (en) * 2013-12-18 2015-06-18 Samsung Electronics Co., Ltd. Method and apparatus for controlling virtual switching
US20150236948A1 (en) * 2014-02-14 2015-08-20 Futurewei Technologies, Inc. Restoring service functions after changing a service chain instance path
US20160028625A1 (en) * 2014-07-22 2016-01-28 Alcatel-Lucent Usa Inc. Packet forwarding based on path encoding
US20160065454A1 (en) * 2014-08-27 2016-03-03 International Business Machines Corporation Reporting static flows to a switch controller in a software-defined network (sdn)
US9847936B2 (en) * 2015-06-25 2017-12-19 Intel Corporation Apparatus and method for hardware-accelerated packet processing

Also Published As

Publication number Publication date
EP3314448B1 (en) 2020-08-12
EP3314448A4 (en) 2019-02-20
EP3314448A1 (en) 2018-05-02
CN107820696B (en) 2021-06-29
US20160380885A1 (en) 2016-12-29
CN107820696A (en) 2018-03-20
US9847936B2 (en) 2017-12-19
WO2016209587A1 (en) 2016-12-29

Similar Documents

Publication Publication Date Title
US20180337850A1 (en) Apparatus and method for hardware-accelerated packet processing
Kim et al. Tea: Enabling state-intensive network functions on programmable switches
Shirmarz et al. Performance issues and solutions in SDN-based data center: a survey
WO2021164398A1 (en) Packet processing system and method, and machine-readable storage medium and program product
US10728175B2 (en) Adaptive service chain management
US10331590B2 (en) Graphics processing unit (GPU) as a programmable packet transfer mechanism
Hamadi et al. Fast path acceleration for open vSwitch in overlay networks
US9088584B2 (en) System and method for non-disruptive management of servers in a network environment
US11394649B2 (en) Non-random flowlet-based routing
US9380025B2 (en) Method and apparatus for ingress filtering
ES2720759T3 (en) Download packet processing for virtualization of network devices
US7672236B1 (en) Method and architecture for a scalable application and security switch using multi-level load balancing
US20160065479A1 (en) Distributed input/output architecture for network functions virtualization
US20180352038A1 (en) Enhanced nfv switching
US9917891B2 (en) Distributed in-order load spreading resilient to topology changes
US20190044856A1 (en) Quantitative Exact Match Distance
US20190020559A1 (en) Distributed health check in virtualized computing environments
Rathore et al. KVM vs. LXC: comparing performance and isolation of hardware-assisted virtual routers
US11122115B1 (en) Workload distribution in a data network
Bonelli et al. The acceleration of OfSoftSwitch
US20230239244A1 (en) Heavy hitter flow detection
Yi et al. FlowShader: A generalized framework for GPU-accelerated VNF flow processing
Wang et al. Tualatin: Towards network security service provision in cloud datacenters
Rathore et al. Data plane optimization in open virtual routers
Tanyingyong et al. Improving performance in a combined router/server

Legal Events

Date Code Title Description
STPP Information on status: patent application and granting procedure in general

Free format text: DOCKETED NEW CASE - READY FOR EXAMINATION

STPP Information on status: patent application and granting procedure in general

Free format text: NON FINAL ACTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: RESPONSE TO NON-FINAL OFFICE ACTION ENTERED AND FORWARDED TO EXAMINER

STPP Information on status: patent application and granting procedure in general

Free format text: FINAL REJECTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: RESPONSE AFTER FINAL ACTION FORWARDED TO EXAMINER

STPP Information on status: patent application and granting procedure in general

Free format text: ADVISORY ACTION MAILED

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION