CN112887225A - Flow rate control method and system based on SP service in EPC network - Google Patents
Flow rate control method and system based on SP service in EPC network Download PDFInfo
- Publication number
- CN112887225A CN112887225A CN201911200045.2A CN201911200045A CN112887225A CN 112887225 A CN112887225 A CN 112887225A CN 201911200045 A CN201911200045 A CN 201911200045A CN 112887225 A CN112887225 A CN 112887225A
- Authority
- CN
- China
- Prior art keywords
- network element
- flow rate
- target
- service
- data
- 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.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/25—Flow control; Congestion control with rate being modified by the source upon detecting a change of network conditions
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
- H04L47/2416—Real-time traffic
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses a flow rate control method and a flow rate control system based on SP service in an EPC network, wherein the method comprises the following steps: acquiring service data of SP service and performance load data of network elements, and determining a target network element for flow rate control and a target SP service in the target network element according to the service data and the performance load data; performing simulation control processing on the flow rate of the target SP service according to the real-time rate of the target SP service and the threshold rate in the sensing test data, and estimating the performance load data of a network element pool to which the target network element belongs after the simulation control processing; and judging whether to generate a flow rate control instruction of the target SP service in the target network element according to the performance load data of the network element pool, if so, generating the flow rate control instruction and sending the flow rate control instruction to the target network element to control the flow rate of the target SP service. Therefore, the scheme of the invention can control the flow rate of the SP service based on the sensing test data of the SP service, and reduce the network load while not influencing the user and sensing.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a flow rate control method and a flow rate control system based on SP service in an EPC network.
Background
EPC (evolved Packet core) and E-UTRAN (evolved UMTS Terrestrial Radio Access network) jointly form an evolved Packet new system, which represents the whole end-to-end 4G network. The main network elements comprise:
an MME (Mobility Management Entity) responsible for Mobility Management of a control plane, user context and Mobility state Management, allocation of a user temporary identity, and the like;
the S-GW (Serving Gateway) is a user anchor point between different access networks in the 3GPP and is responsible for data exchange of a user plane when a user moves between different access technologies;
P-GW (PDN Gateway, data network using packet protocol), generally refers to an external network to which a mobile terminal accesses.
With the wide popularization of unlimited packages and the great reduction of traffic charges, the flow rate of the whole network rapidly increases in an explosive manner, and severe impact is generated on all professional network elements on a traffic path, including wireless, transmission, core networks and the internet. Therefore, it is important to ensure that the network flow rate is within the normal load range of the network to ensure the network safety. Currently, the network load is mainly reduced in the current network by the following two ways:
the first method is as follows: carrying out emergency capacity expansion on equipment capacity, wherein the emergency capacity expansion comprises software capacity expansion and hardware capacity expansion;
the second method comprises the following steps: load balancing among network element POOLs mainly aims at network load imbalance caused by large-range population migration during major holidays, if loads in a certain SAEGW POOL (network element POOL) are all ultrahigh, the weights can be modified through a DNS (domain name system), and services can be distributed to SAEGW equipment of other SAEGW POOLs.
However, the inventor finds that at least the following problems exist in the existing method for reducing the network load in the process of implementing the embodiment of the invention: in the first mode, the expansion period of the hardware capacity is long, and the sudden service peak cannot be solved; moreover, the capacity of both hardware and software is tolerant, so that the investment cost of network construction is increased; the second method is not suitable for the situation that the loads of the provincial system are all ultrahigh, and meanwhile, the method needs to comprehensively evaluate the load capacities of the peripheral network elements, such as the load capacities of the SGi firewall and the SBC device.
Disclosure of Invention
In view of the above, the present invention is proposed to provide a method and system for controlling flow rate based on SP traffic in an EPC network that overcomes or at least partially solves the above problems.
According to an aspect of the present invention, there is provided a method for controlling flow rate based on SP traffic in an EPC network, including:
acquiring service data of SP service and performance load data of network elements, and determining a target network element for flow rate control and a target SP service in the target network element according to the service data and the performance load data;
performing simulation control processing on the flow rate of the target SP service according to the real-time rate of the target SP service and the threshold rate in the perception test data, and estimating performance load data of a network element pool to which the target network element belongs after the simulation control processing;
and judging whether to generate a flow rate control instruction of the target SP service in the target network element according to the performance load data of the network element pool, if so, generating the flow rate control instruction and sending the flow rate control instruction to the target network element to control the flow rate of the target SP service.
Optionally, the performing, according to the real-time rate of the target SP service and the threshold rate in the sensing test data, the simulation control processing on the flow rate of the target SP service further includes:
controlling the speed of the target SP service from the real-time speed to a threshold speed in perception test data;
the estimating the performance load data of the network element pool to which the target network element belongs after the simulation control processing further comprises:
calculating the flow rate of a network element pool to which the target network element belongs after the real-time rate of the target SP service is controlled to the threshold rate in the perception test data; and estimating the performance load data of the network element pool according to the flow rate of the network element pool and the capability coefficient of each set of network element equipment in the network element pool.
Optionally, after the calculating controls the rate of the target SP service from the real-time rate to the threshold rate in the sensing test data, the flow rate of the network element pool to which the target network element belongs further includes:
subtracting the real-time flow rate of the target network element from the reduced value of the flow rate of the target network element after the real-time flow rate of the target SP service is controlled to the threshold rate in the perception test data, so as to obtain the flow rate of the target network element;
and summing the flow rates of a plurality of network elements in the network element pool to which the target network element belongs to obtain the flow rate of the network element pool.
Optionally, the capability coefficient includes an interface bandwidth and/or a forwarding capability coefficient; the estimating the performance load data of the network element pool according to the flow rate of the network element pool and the capability coefficient of each set of network element equipment in the network element pool further comprises:
obtaining a first ratio of the flow rate of the network element pool and the sum of the interface bandwidths of a plurality of sets of network element equipment in the network element pool, and determining the first ratio as the interface bandwidth utilization rate of the network element pool; and/or the presence of a gas in the gas,
and solving a second ratio of the flow rate of the network element pool to the sum of the forwarding capacity coefficients of the multiple sets of network element equipment in the network element pool, and determining the second ratio as the utilization rate of the forwarding capacity of the network element pool.
Optionally, the determining whether to generate the flow rate control instruction of the target SP service in the target network element according to the performance load data of the network element pool further includes:
and judging whether one or more load values in the performance load data of the network element pool are lower than corresponding preset load values, if so, judging to generate a flow rate control instruction of the target SP service in the target network element.
Optionally, if the one or more load values are lower than or equal to the corresponding preset load values, the method further includes: and skipping to execute the step of collecting service data of the SP service and performance load data of the network element, and determining a target network element aimed at by flow rate control and a target SP service in the target network element according to the service data and the performance load data, and the subsequent steps.
Optionally, after the generating the flow rate control command, the method further includes:
judging whether the demand of issuing the flow rate control instruction exists or not according to the real-time load of the target SP service;
the step of controlling the flow rate of the target SP service by the network element to which the data is transmitted is specifically as follows: and if the requirement of issuing the flow rate control instruction exists, issuing the flow rate control instruction to a target network element to control the flow rate of the target SP service.
According to another aspect of the present invention, there is provided a system for controlling flow rate based on SP traffic in an EPC network, comprising:
the data acquisition management subsystem is suitable for acquiring service data of SP service and performance load data of network elements;
the algorithm modeling subsystem is suitable for determining a target network element for flow rate control and a target SP service in the target network element according to the service data and the performance load data; performing simulation control processing on the flow rate of the target SP service according to the real-time rate of the target SP service and the threshold rate in the perception test data, and estimating performance load data of a network element pool to which the target network element belongs after the simulation control processing;
and the instruction management subsystem is suitable for judging whether to generate a flow rate control instruction of the target SP service in the target network element according to the performance load data of the network element pool, and if so, generating the flow rate control instruction and issuing the flow rate control instruction to the target network element to control the flow rate of the target SP service.
Optionally, the algorithm modeling subsystem further includes a flow rate control calculation module and a network element load evaluation module, where the flow rate control calculation module is adapted to: controlling the speed of the target SP service from the real-time speed to a threshold speed in perception test data; calculating the flow rate of a network element pool to which the target network element belongs after the real-time rate of the target SP service is controlled to the threshold rate in the perception test data;
and the network element load assessment module is adapted to: and estimating the performance load data of the network element pool according to the flow rate of the network element pool and the capability coefficient of each set of network element equipment in the network element pool.
Optionally, the flow rate control calculation module is further adapted to: subtracting the real-time flow rate of the target network element from the reduced value of the flow rate of the target network element after the real-time flow rate of the target SP service is controlled to the threshold rate in the perception test data, so as to obtain the flow rate of the target network element;
and summing the flow rates of a plurality of network elements in the network element pool to which the target network element belongs to obtain the flow rate of the network element pool.
Optionally, the capability coefficient includes an interface bandwidth and/or a forwarding capability coefficient;
the network element load assessment module is further adapted to: obtaining a first ratio of the flow rate of the network element pool and the sum of the interface bandwidths of a plurality of sets of network element equipment in the network element pool, and determining the first ratio as the interface bandwidth utilization rate of the network element pool; and/or the presence of a gas in the gas,
and solving a second ratio of the flow rate of the network element pool to the sum of the forwarding capacity coefficients of the multiple sets of network element equipment in the network element pool, and determining the second ratio as the utilization rate of the forwarding capacity of the network element pool.
Optionally, the instruction management subsystem further includes an instruction generation module adapted to: and judging whether one or more load values in the performance load data of the network element pool are lower than corresponding preset load values, if so, judging to generate a flow rate control instruction of the target SP service in the target network element.
Optionally, the instruction management subsystem is further adapted to: and if the one or more load values are lower than or equal to the corresponding preset load values, triggering the data acquisition management subsystem to acquire service data of the SP service and performance load data of the network element, and determining a target network element aimed at by flow rate control and a target SP service in the target network element according to the service data and the performance load data and subsequent steps.
Optionally, the instruction management subsystem further includes an instruction issuing module adapted to:
judging whether the demand of issuing the flow rate control instruction exists or not according to the real-time load of the target SP service;
and if the requirement of issuing the flow rate control instruction exists, issuing the flow rate control instruction to a target network element to control the flow rate of the target SP service.
According to yet another aspect of the present invention, there is provided a computing device comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the corresponding operation of the flow rate control method based on the SP service in the EPC network.
According to still another aspect of the present invention, there is provided a computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to perform operations corresponding to the method for controlling a flow rate based on SP traffic in an EPC network as described above.
According to the method and the system for controlling the flow rate based on the SP service in the EPC network, a target network element and a target SP service in the target network element are determined according to the service data of the SP service and the performance load data of the network element, the target SP service is subjected to simulation control processing according to the threshold rate of the target SP service, and the performance load data of a network element pool to which the target network element belongs after the simulation control processing is estimated; and if the performance load data of the network element pool after the simulation control processing can achieve the expected effect, issuing a flow rate control instruction aiming at the target SP service to the target network element so as to complete the flow rate control of the target SP service. Therefore, the scheme of the invention can be used for efficiently reducing the load pressure at the time of a service peak through simulation control processing and subsequent estimation calculation; the flow rate can be accurately controlled aiming at the target SP service of the target network element, other services or network elements are not influenced, and meanwhile, the load capacity of peripheral network elements does not need to be comprehensively evaluated; and the control is carried out according to the threshold rate in the perception test data, so that the influence on the normal use of the target SP service by a user can be avoided.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a flow chart of an embodiment of a method for controlling flow rate based on SP traffic in an EPC network according to the present invention;
FIG. 2 is a flow chart illustrating another embodiment of a method for controlling flow rate based on SP traffic in an EPC network according to the present invention;
FIG. 3 is a schematic diagram illustrating an embodiment of a system for controlling flow rate based on SP traffic in an EPC network according to the present invention;
FIG. 4 is a schematic diagram of a flow rate control system based on SP traffic in an EPC network according to an embodiment of the present invention;
fig. 5 shows a schematic structural diagram of an embodiment of the server of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Fig. 1 shows a flowchart of an embodiment of a flow rate control method based on SP traffic in an EPC network according to the present invention. The method is applied to a flow rate control system (the specific structure can be referred to as the following description of the system embodiment), and the flow rate control system establishes communication connection with network elements (mainly referring to SAEGW network elements comprising S-GW and P-GW) in EPC network. As shown in fig. 1, the method comprises the steps of:
step S110: and acquiring service data of the SP service and performance load data of the network element, and determining a target network element for which the flow rate control is aimed and a target SP service in the target network element according to the service data and the performance load data.
Before implementing the embodiments of the present invention, a plurality of concepts related herein are explained, wherein the network element is divided in function, and herein the network element refers to an SAEGW including an S-GW and a P-GW; a network element POOL (SAEGW POOL) refers to a POOL formed by a plurality of network elements for realizing the same function, and the network element POOL is mainly used for providing services for a region, so as to ensure that other network elements in the network element POOL can continue to provide services when one or more network elements cannot normally provide services, so as to improve disaster tolerance capability; and the equipment corresponding to one S-GW network element and the equipment corresponding to one P-GW network element in the network element pool form a set of network element equipment.
The service data of the SP service refers to data reflecting service load, such as the number of users and traffic; the performance load data of the network element refers to resource utilization data, such as bandwidth utilization, of the network element including various SP services.
Specifically, a target network element that needs to perform flow rate control and a target SP service in the target network element are determined according to service data of the SP service and performance load data of the network element, where the network element or the SP service that needs to perform flow rate control is a higher load, and the flow rate control refers to a limitation on a broadband.
Step S120: and performing simulation control processing on the flow rate of the target SP service according to the real-time rate of the target SP service and the threshold rate in the sensing test data, and estimating the performance load data of the network element pool to which the target network element belongs after the simulation control processing.
The real-time rate refers to a current download rate of using the target SP service, and the sensing threshold rate in the test data refers to a lowest rate that does not affect normal use of the service.
Specifically, the simulated flow rate in the process of analog control of the flow rate is determined according to the real-time rate and the threshold rate, wherein the simulated flow rate is higher than or equal to the threshold rate so as to avoid affecting the normal use of the target SP service by the user. And after the simulation control processing, because the target SP service passes through the target network element, the load of the target network element and the load of the network element pool to which the target network element belongs are reduced along with the reduction of the load of the target SP service, so that the load change of the network element pool to which the target network element belongs after the simulation control processing can be determined, and the performance load data of the network element pool can be estimated and obtained, wherein the performance load data reflects the expected resource utilization rate of the network element pool after the simulation control processing.
Step S130: and judging whether to generate a flow rate control instruction of the target SP service in the target network element according to the performance load data of the network element pool, if so, executing the step S140, and if not, ending the method.
Specifically, whether the performance load data of the network element pool meets a preset resource utilization rate standard is judged, if yes, a flow rate control instruction of a target SP service in a target network element is judged to be generated, and step S104 is executed to perform flow rate control on the target SP service; if not, the result of the analog control processing does not reach the standard, and the method is finished at the moment.
Step S140: and generating a flow rate control instruction and sending the flow rate control instruction to the target network element to control the flow rate of the target SP service.
The flow rate control command includes a ServCode (service code) of the target SP service and an analog flow rate of the target SP service.
Specifically, the flow rate control system generates a flow rate control instruction and sends the flow rate control instruction to the target network element, and limits the flow rate of the target SP service to the simulated flow rate through the instruction content, so that the load of the target SP service is reduced, and further, the load of the target network element and a network element pool to which the target network element belongs is reduced, and meanwhile, the use of the target SP service by a user is not influenced.
For example, the target SP service is a download service of the application a, and if the application a performs version update and a large amount of downloads are generated, the service load increases rapidly, at this time, the download rate can be reduced from 2M to 200KB by the flow rate control instruction, so that the normal use of the download service is not affected, but only the download duration is slightly longer, and the load of the download service can be reduced.
According to the method for controlling the flow rate based on the SP service in the EPC network provided by this embodiment, a target network element and a target SP service in the target network element are determined according to service data of the SP service and performance load data of the network element, and the target SP service is subjected to simulation control processing according to a threshold rate of the target SP service, and performance load data of a network element pool to which the target network element belongs after the simulation control processing is estimated; and if the performance load data of the network element pool after the simulation control processing can achieve the expected effect, issuing a flow rate control instruction aiming at the target SP service to the target network element so as to complete the flow rate control of the target SP service. Therefore, according to the scheme of the embodiment, firstly, the load pressure at the time of a service peak can be efficiently reduced through simulation control processing and subsequent estimation calculation; the flow rate can be accurately controlled aiming at the target SP service of the target network element, other services or network elements are not influenced, and meanwhile, the load capacity of peripheral network elements does not need to be comprehensively evaluated; and the control is carried out according to the threshold rate in the perception test data, so that the influence on the normal use of the target SP service by a user can be avoided.
Fig. 2 is a flowchart illustrating another embodiment of a flow rate control method based on SP traffic in an EPC network according to the present invention. The method is applied to a flow rate control system, and the flow rate control system establishes communication connection with network elements (mainly referring to SAEGW network elements including S-GW and P-GW) in an EPC network. As shown in fig. 2, the method comprises the steps of:
step S210: and acquiring service data of the SP service and performance load data of the network element, and determining a target network element for which the flow rate control is aimed and a target SP service in the target network element according to the service data and the performance load data.
In the embodiment of the present invention, the data sources to be collected by the flow rate control system include: a telephone traffic network management performance report, a data network management performance report, a SEQ system service report (representing resources occupied by each SP service), SP service sensing test data (representing the minimum rate of normal use of the SP service), and a SP service SID information table (SP service ServCode code used for issuing instructions for the service).
By processing the acquired data source, load indexes presented according to network elements and SP service dimensions can be obtained, and service data of the SP service and performance load data of the network elements are obtained. Then, determining a target network element and a target SP service in the target network element according to the service data and the performance load data, wherein:
on one hand, a target network element and a target SP service which need to be subjected to flow rate control are determined according to load, specifically, if performance load data of the network element shows that the resource utilization rate of one or more network elements (the proportion of the network elements to the total number of the network elements is smaller than a set value) is higher than a first preset value, and the resource utilization rates of the rest network elements are lower than or equal to a second preset value (the first preset value is larger than the second preset value), the situation that the resource utilization rate of a small number of network elements (one or more network elements) is higher than that of the majority of network elements (the rest network elements) is indicated, the flow rate control needs to be carried out on the one or more network elements, and the target SP service is selected from the services respectively carried by the one or more; if the performance load data of the network element shows that the resource utilization rate of the network element is consistent and higher, the load is the condition of the whole network and is not caused by one or more services, and the flow rate control is not needed at the moment. It should be noted that, in practical implementation, the first preset value and the second preset value may be flexibly adjusted according to the time period and the holidays, for example, the first preset value during the holiday period is higher than the first preset value during the non-holiday period, and the first preset value during the non-working time period is higher than the first preset value during the working time period.
And on the other hand, selecting the target SP service from the target network element according to the priority of the SP service and the service data. Specifically, a target SP service is selected for a service in a target network element according to two dimensions of service priority and service load, wherein for a service with high service load, the service is preferentially selected as the target SP service, wherein the service load comprises the number of busy service users, busy service flow and the like; and preferentially selecting the service with high guarantee level (namely, preferentially guaranteeing the service normally provided by the service) as the target SP service. For example, if the service load of the payment application is high and the payment application is an application with a high security level, the payment application is preferentially selected as the target SP service.
Step S220: and performing simulation control processing on the flow rate of the target SP service according to the real-time rate of the target SP service and the threshold rate in the sensing test data, and estimating the performance load data of the network element pool to which the target network element belongs after the simulation control processing.
Specifically, the speed of the target SP service is controlled from the real-time speed to a threshold speed in the sensing test data, in this embodiment, the real-time speed is controlled to the threshold speed, so that the load can be reduced as much as possible; calculating the flow rate of a network element pool to which a target network element belongs after controlling the rate of the target SP service from the real-time rate to a threshold rate in the sensing test data, wherein the flow rate of the network element pool to which the target network element belongs is the sum of the flow rates of a plurality of network elements in the network element pool, and the flow rate of each network element is the sum of the flow rates of a plurality of SP services in the network element; and estimating the performance load data of the network element pool according to the flow rate of the network element pool and the capacity coefficient of each set of network element equipment in the network element pool, wherein the capacity coefficient refers to the maximum bearing capacity of each set of network element equipment, such as interface bandwidth.
Further, subtracting the real-time flow rate of the target network element from the reduction value of the flow rate of the target network element after the speed of the target SP service is controlled to the threshold speed in the sensing test data from the real-time speed to obtain the flow rate of the target network element, wherein the real-time flow rate of the target network element is the sum of the flow rates of a plurality of services in the target network element. Table 1 below is the basic data of network element Wj:
the real-time flow rate in the network element Wj is:
the reduction value of the flow rate of the network element Wj is as follows:
wherein h to g are target SP service h to target SP service g;
the flow rate of the network element Wj after the flow control is implemented is as follows:
and summing the flow rates of a plurality of network elements in the network element pool to which the target network element belongs to obtain the flow rate of the network element pool. Still taking table 1 as an example, assuming that there are m sets of devices in a certain SAEGW POOL, the flow rate of the SAEGW POOL after performing flow control is:
Then, according to the flow rate of the network element pool and the capability coefficient of each set of network element equipment in the network element pool, estimating the performance load data of the network element pool, wherein the capability coefficient comprises an interface bandwidth and/or a forwarding capability coefficient, and correspondingly, estimating the performance load data of the network element pool comprises: calculating a first ratio of the flow rate of the network element pool to the sum of the interface bandwidths of a plurality of sets of network element equipment in the network element pool, and determining the first ratio as the interface bandwidth utilization rate of the network element pool; and/or obtaining a second ratio of the flow rate of the network element pool and the sum of the forwarding capacity coefficients of the multiple sets of network element equipment in the network element pool, and determining the second ratio as the utilization rate of the forwarding capacity of the network element pool. For example, m sets of SAEGW devices are provided in each SAEGW POOL, the interface bandwidth of each set of SAEGW device is bj (gbps), and the forwarding capability is cj (gbps), then the interface bandwidth utilization rate and the forwarding capability utilization rate of the SAEGW POOL are:
Step S230: judging whether to generate a flow rate control instruction of a target SP service in the target network element according to the performance load data of the network element pool, if so, executing a step S240; if not, the step S210 is skipped to execute.
Specifically, after performance load data of the network element pool is estimated, whether the performance load data meets an expected result is judged, wherein whether one or more load values in the performance load data of the network element pool are lower than corresponding preset load values is judged, if yes, the expected effect is achieved through flow rate control, and a flow rate control instruction of a target SP service in the target network element is judged to be generated so as to control the flow rate of the target SP service. For example, if the estimated interface bandwidth utilization rate is 58% and the preset interface bandwidth utilization rate is 60%, the estimated value is lower than the preset load value, and it is determined to generate the flow rate control instruction for the target SP service. If not, it indicates that the expected effect still cannot be achieved by controlling the flow rate to the threshold rate through the flow rate control, and the step S210 and the subsequent steps are skipped to, that is, the step S and the subsequent steps are performed, that is, the service data of the SP service and the performance load data of the network element are collected, and the target network element targeted by the flow rate control and the target SP service in the target network element are determined according to the service data and the performance load data.
Step S240: generating a flow rate control instruction; and judging whether the flow rate control instruction is required to be issued, if so, issuing the flow rate control instruction to a target network element to control the flow rate of the target SP service.
The flow rate control command includes a ServCode (service code) of the target SP service and an analog flow rate of the target SP service.
Specifically, the flow rate control system generates a flow rate control instruction and sends the flow rate control instruction to the target network element, and limits the flow rate of the target SP service to the simulated flow rate through the instruction content, so that the load of the target SP service is reduced, and further, the load of the target network element and a network element pool to which the target network element belongs is reduced, and meanwhile, the use of the target SP service by a user is not influenced.
Further, after the flow rate control instruction is generated, whether the demand of issuing the flow rate control instruction exists is judged according to the real-time load of the target SP service, the service load usually changes instantaneously, whether the real-time load exceeds a preset value is judged, if yes, the load is still higher, and at the moment, the issued demand is determined to exist; and if the requirement of issuing the flow rate control instruction exists, issuing the flow rate control instruction to a target network element to control the flow rate of the target SP service. Otherwise, if the issuing requirement does not exist, the current flow control operation is cancelled.
In addition, the above embodiment of the present invention may also be applicable to a scenario in which access to a certain SP service is prohibited, and in this scenario, only the bandwidth allocated to the service needs to be set to 0 Mbps.
According to the flow rate control method based on the SP service in the EPC network provided by the embodiment, based on SP service perception test data, the flow rate control is performed on the specified SP service of the specified network element by analyzing the flow rate composition of each SP service of the current network, so that the network load is reduced on the premise of not influencing the service perception of a user, the use efficiency of network resources is improved, and meanwhile, no influence is caused on peripheral network elements.
Fig. 3 is a schematic structural diagram of an embodiment of the flow rate control system based on SP traffic in the EPC network according to the present invention. As shown in fig. 3, the apparatus includes:
the data acquisition management subsystem 310 is suitable for acquiring service data of SP services and performance load data of network elements;
an algorithm modeling subsystem 320 adapted to determine a target network element targeted by flow rate control and a target SP service in the target network element according to the service data and the performance load data; performing simulation control processing on the flow rate of the target SP service according to the real-time rate of the target SP service and the threshold rate in the perception test data, and estimating performance load data of a network element pool to which the target network element belongs after the simulation control processing;
and the instruction management subsystem 330 is adapted to determine whether to generate a flow rate control instruction of the target SP service in the target network element according to the performance load data of the network element pool, and if so, generate the flow rate control instruction and send the flow rate control instruction to the target network element to control the flow rate of the target SP service.
In an optional manner, the algorithmic modeling sub-system further includes a flow rate control calculation module and a network element load assessment module, where the flow rate control calculation module is adapted to: controlling the speed of the target SP service from the real-time speed to a threshold speed in perception test data; calculating the flow rate of a network element pool to which the target network element belongs after the real-time rate of the target SP service is controlled to the threshold rate in the perception test data;
and the network element load assessment module is adapted to: and estimating the performance load data of the network element pool according to the flow rate of the network element pool and the capability coefficient of each set of network element equipment in the network element pool.
In an alternative form, the flow rate control calculation module is further adapted to: subtracting the real-time flow rate of the target network element from the reduced value of the flow rate of the target network element after the real-time flow rate of the target SP service is controlled to the threshold rate in the perception test data, so as to obtain the flow rate of the target network element;
and summing the flow rates of a plurality of network elements in the network element pool to which the target network element belongs to obtain the flow rate of the network element pool.
In an optional manner, the capability coefficient includes an interface bandwidth and/or a forwarding capability coefficient;
the network element load assessment module is further adapted to: obtaining a first ratio of the flow rate of the network element pool and the sum of the interface bandwidths of a plurality of sets of network element equipment in the network element pool, and determining the first ratio as the interface bandwidth utilization rate of the network element pool; and/or the presence of a gas in the gas,
and solving a second ratio of the flow rate of the network element pool to the sum of the forwarding capacity coefficients of the multiple sets of network element equipment in the network element pool, and determining the second ratio as the utilization rate of the forwarding capacity of the network element pool.
In an optional manner, the instruction management subsystem further comprises an instruction generation module adapted to: and judging whether one or more load values in the performance load data of the network element pool are lower than corresponding preset load values, if so, judging to generate a flow rate control instruction of the target SP service in the target network element.
In an alternative form, the instruction management subsystem is further adapted to: and if the one or more load values are lower than or equal to the corresponding preset load values, triggering the data acquisition management subsystem to acquire service data of the SP service and performance load data of the network element, and determining a target network element aimed at by flow rate control and a target SP service in the target network element according to the service data and the performance load data and subsequent steps.
In an optional manner, the instruction management subsystem further includes an instruction issuing module adapted to: :
judging whether the demand of issuing the flow rate control instruction exists or not according to the real-time load of the target SP service;
and if the requirement of issuing the flow rate control instruction exists, issuing the flow rate control instruction to a target network element to control the flow rate of the target SP service.
Fig. 4 is a schematic structural diagram of an SP traffic-based flow rate control system in an EPC network according to an embodiment of the present invention. As shown in fig. 4: the data sources required to be collected by the system comprise: the system comprises a telephone traffic network management performance report, a data network management performance report, an SEQ system service report, SP service perception test data and an SP service SID information table, and the system needs to be communicated with a network element in an EPC network to ensure the normal issuing of a flow rate control instruction.
The system consists of a data acquisition management subsystem, an algorithm modeling subsystem, an instruction management subsystem and a storage management subsystem, and the function description is as follows:
wherein, the data acquisition management subsystem: the system is responsible for collecting the basic data configuration of the system and comprises the following modules:
basic data acquisition module: acquiring basic data of a current network telephone traffic network manager, a channel subsystem and an SEQ system, wherein the basic data comprises the number of attached users in busy hours every day, a flow peak value in busy hours every day, the SP service flow rate in busy hours and the like;
a WEB interface module: the method supports manual input of basic data which cannot be collected, such as service perception test data and the like;
a data preprocessing module: the collected data is standardized, such as unified units;
a performance presentation module: presenting a service load index according to the acquired data and the service dimensions of the network element and the SP; the presented service load data can be used for determining a target network element and a target SP service;
wherein the algorithmic modeling subsystem: the system is responsible for model calculation, SP service flow rate control evaluation and the like and comprises the following modules:
the flow rate control calculation module: calculating the flow rate of the network element Wj subjected to flow control for the SP service h to the SP service g according to the basic data, which may be specifically referred to in the description of the relevant calculation process in step S220;
a network element load evaluation module: according to the calculation result of the flow rate control module, by combining the network element capability coefficients, such as the interface bandwidth and the service board forwarding capability of the SAEGW, the interface bandwidth and the service board processing capability of the SGi firewall, and the like, the network element load after flow rate control is evaluated, which may specifically refer to the description of the relevant calculation process in step S220;
wherein, the instruction management subsystem: the system is responsible for generating and issuing a command based on the calculation result of the algorithm modeling subsystem and comprises the following modules:
an instruction generation module: generating a speed limit instruction based on the SP service SID;
an instruction issuing module: sending the instruction generated by the instruction generating module to the network element;
wherein the storage management subsystem: the system is responsible for providing storage and management of basic data collected by the system, system configuration data and other information, such as reading, writing, updating and the like, and comprises the following modules:
interface adaptation module: the bottom interface packaging module is used for uniformly providing management services for storing data to the outside, including reading, writing, updating and the like;
a database: storing basic data, system data, etc.
An embodiment of the present invention provides a non-volatile computer storage medium, where the computer storage medium stores at least one executable instruction, and the computer executable instruction may execute the method for controlling a flow rate based on an SP service in an EPC network in any of the above method embodiments.
Fig. 5 is a schematic structural diagram of an embodiment of a server according to the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the server.
As shown in fig. 5, the server may include: a processor (processor)502, a Communications Interface 504, a memory 506, and a communication bus 508.
Wherein: the processor 502, communication interface 504, and memory 506 communicate with one another via a communication bus 508. A communication interface 504 for communicating with network elements of other devices, such as clients or other servers. The processor 502 is configured to execute the procedure 510, and may specifically execute relevant steps in the above-described embodiment of the flow rate control method based on SP traffic in the EPC network for a server.
In particular, program 510 may include program code that includes computer operating instructions.
The processor 502 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement an embodiment of the present invention. The server comprises one or more processors, which can be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And a memory 506 for storing a program 510. The memory 506 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 510 may specifically be used to cause the processor 502 to perform the following operations:
acquiring service data of SP service and performance load data of network elements, and determining a target network element for flow rate control and a target SP service in the target network element according to the service data and the performance load data;
performing simulation control processing on the flow rate of the target SP service according to the real-time rate of the target SP service and the threshold rate in the perception test data, and estimating performance load data of a network element pool to which the target network element belongs after the simulation control processing;
and judging whether to generate a flow rate control instruction of the target SP service in the target network element according to the performance load data of the network element pool, if so, generating the flow rate control instruction and sending the flow rate control instruction to the target network element to control the flow rate of the target SP service.
In an alternative, the program 510 causes the processor to:
controlling the speed of the target SP service from the real-time speed to a threshold speed in perception test data;
calculating the flow rate of a network element pool to which the target network element belongs after the real-time rate of the target SP service is controlled to the threshold rate in the perception test data; and estimating the performance load data of the network element pool according to the flow rate of the network element pool and the capability coefficient of each set of network element equipment in the network element pool.
In an alternative, the program 510 further causes the processor to:
subtracting the real-time flow rate of the target network element from the reduced value of the flow rate of the target network element after the real-time flow rate of the target SP service is controlled to the threshold rate in the perception test data, so as to obtain the flow rate of the target network element;
and summing the flow rates of a plurality of network elements in the network element pool to which the target network element belongs to obtain the flow rate of the network element pool.
In an optional manner, the capability coefficient includes an interface bandwidth and/or a forwarding capability coefficient;
the program 510 further causes the processor to: obtaining a first ratio of the flow rate of the network element pool and the sum of the interface bandwidths of a plurality of sets of network element equipment in the network element pool, and determining the first ratio as the interface bandwidth utilization rate of the network element pool; and/or the presence of a gas in the gas,
and solving a second ratio of the flow rate of the network element pool to the sum of the forwarding capacity coefficients of the multiple sets of network element equipment in the network element pool, and determining the second ratio as the utilization rate of the forwarding capacity of the network element pool.
In an alternative, the program 510 further causes the processor to:
and judging whether one or more load values in the performance load data of the network element pool are lower than corresponding preset load values, if so, judging to generate a flow rate control instruction of the target SP service in the target network element.
In an alternative manner, if the one or more load values are lower than or equal to the corresponding preset load values, the program 510 further causes the processor to: and skipping to execute the step of collecting service data of the SP service and performance load data of the network element, and determining a target network element aimed at by flow rate control and a target SP service in the target network element according to the service data and the performance load data, and the subsequent steps.
In an alternative, the program 510 further causes the processor to:
judging whether the demand of issuing the flow rate control instruction exists or not according to the real-time load of the target SP service;
the step of controlling the flow rate of the target SP service by the network element to which the data is transmitted is specifically as follows: and if the requirement of issuing the flow rate control instruction exists, issuing the flow rate control instruction to a target network element to control the flow rate of the target SP service.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specified otherwise.
Claims (10)
1. A flow rate control method based on SP service in EPC network includes:
acquiring service data of SP service and performance load data of network elements, and determining a target network element for flow rate control and a target SP service in the target network element according to the service data and the performance load data;
performing simulation control processing on the flow rate of the target SP service according to the real-time rate of the target SP service and the threshold rate in the perception test data, and estimating performance load data of a network element pool to which the target network element belongs after the simulation control processing;
and judging whether to generate a flow rate control instruction of the target SP service in the target network element according to the performance load data of the network element pool, if so, generating the flow rate control instruction and sending the flow rate control instruction to the target network element to control the flow rate of the target SP service.
2. The method of claim 1, wherein said analog controlling the flow rate of the target SP traffic as a function of the real-time rate of the target SP traffic and a threshold rate in the sensory test data further comprises:
controlling the speed of the target SP service from the real-time speed to a threshold speed in perception test data;
the estimating the performance load data of the network element pool to which the target network element belongs after the simulation control processing further comprises:
calculating the flow rate of a network element pool to which the target network element belongs after the real-time rate of the target SP service is controlled to the threshold rate in the perception test data; and estimating the performance load data of the network element pool according to the flow rate of the network element pool and the capability coefficient of each set of network element equipment in the network element pool.
3. The method of claim 2, wherein after calculating the flow rate of the network element pool to which the target network element belongs after controlling the rate of the target SP traffic from the real-time rate to the threshold rate in the perceptual test data, the method further comprises:
subtracting the real-time flow rate of the target network element from the reduced value of the flow rate of the target network element after the real-time flow rate of the target SP service is controlled to the threshold rate in the perception test data, so as to obtain the flow rate of the target network element;
and summing the flow rates of a plurality of network elements in the network element pool to which the target network element belongs to obtain the flow rate of the network element pool.
4. The method of claim 2, wherein the capability coefficients comprise interface bandwidth and/or forwarding capability coefficients; the estimating the performance load data of the network element pool according to the flow rate of the network element pool and the capability coefficient of each set of network element equipment in the network element pool further comprises:
obtaining a first ratio of the flow rate of the network element pool and the sum of the interface bandwidths of a plurality of sets of network element equipment in the network element pool, and determining the first ratio as the interface bandwidth utilization rate of the network element pool; and/or the presence of a gas in the gas,
and solving a second ratio of the flow rate of the network element pool to the sum of the forwarding capacity coefficients of the multiple sets of network element equipment in the network element pool, and determining the second ratio as the utilization rate of the forwarding capacity of the network element pool.
5. The method of claim 1, wherein the determining whether to generate the flow rate control instruction for the target SP traffic in the target network element according to the performance load data of the network element pool further comprises:
and judging whether one or more load values in the performance load data of the network element pool are lower than corresponding preset load values, if so, judging to generate a flow rate control instruction of the target SP service in the target network element.
6. The method according to any of claims 1-5, wherein if the one or more load values are lower than or equal to the corresponding preset load values, the method further comprises: and skipping to execute the step of collecting service data of the SP service and performance load data of the network element, and determining a target network element aimed at by flow rate control and a target SP service in the target network element according to the service data and the performance load data, and the subsequent steps.
7. The method of claim 1, wherein after the generating flow rate control instructions, the method further comprises:
judging whether the demand of issuing the flow rate control instruction exists or not according to the real-time load of the target SP service;
the step of controlling the flow rate of the target SP service by the network element to which the data is transmitted is specifically as follows: and if the requirement of issuing the flow rate control instruction exists, issuing the flow rate control instruction to a target network element to control the flow rate of the target SP service.
8. A system for controlling flow rate based on SP traffic in EPC network, comprising:
the data acquisition management subsystem is suitable for acquiring service data of SP service and performance load data of network elements;
the algorithm modeling subsystem is suitable for determining a target network element for flow rate control and a target SP service in the target network element according to the service data and the performance load data; performing simulation control processing on the flow rate of the target SP service according to the real-time rate of the target SP service and the threshold rate in the perception test data, and estimating performance load data of a network element pool to which the target network element belongs after the simulation control processing;
and the instruction management subsystem is suitable for judging whether to generate a flow rate control instruction of the target SP service in the target network element according to the performance load data of the network element pool, and if so, generating the flow rate control instruction and issuing the flow rate control instruction to the target network element to control the flow rate of the target SP service.
9. A computing device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, which causes the processor to execute the corresponding operation of the flow rate control method based on SP service in EPC network according to any one of claims 1-7.
10. A computer storage medium having stored therein at least one executable instruction to cause a processor to perform operations corresponding to the method for flow rate control based on SP traffic in an EPC network according to any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911200045.2A CN112887225B (en) | 2019-11-29 | 2019-11-29 | Flow rate control method and system based on SP service in EPC network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911200045.2A CN112887225B (en) | 2019-11-29 | 2019-11-29 | Flow rate control method and system based on SP service in EPC network |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112887225A true CN112887225A (en) | 2021-06-01 |
| CN112887225B CN112887225B (en) | 2023-09-05 |
Family
ID=76038492
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911200045.2A Active CN112887225B (en) | 2019-11-29 | 2019-11-29 | Flow rate control method and system based on SP service in EPC network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112887225B (en) |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6144639A (en) * | 1996-09-03 | 2000-11-07 | Sbc Technology Resources, Inc. | Apparatus and method for congestion control in high speed networks |
| CN101534242A (en) * | 2008-03-11 | 2009-09-16 | 大唐移动通信设备有限公司 | Method for controlling flow and system and equipment thereof |
| US20100329118A1 (en) * | 2009-06-30 | 2010-12-30 | Razoom, Inc. | FLOW STATE AWARE MANAGEMENT OF QoS THROUGH DYNAMIC AGGREGATE BANDWIDTH ADJUSTMENTS |
| CN101964754A (en) * | 2010-11-01 | 2011-02-02 | 南京邮电大学 | Point to point (P2P) service identification-based quality of service (QoS) routing method |
| CN102025635A (en) * | 2010-12-16 | 2011-04-20 | 浪潮(北京)电子信息产业有限公司 | Method and device for controlling flow of network working under full duplex model |
| CN102710374A (en) * | 2012-05-28 | 2012-10-03 | 天津大学 | Speed control method in wireless streaming media transmission |
| US9246828B1 (en) * | 2014-06-18 | 2016-01-26 | Juniper Networks, Inc. | Traffic-aware sampling rate adjustment within a network device |
| US20160234078A1 (en) * | 2015-02-11 | 2016-08-11 | At&T Intellectual Property I, Lp | Method and system for managing service quality according to network status predictions |
| CN109257304A (en) * | 2017-07-12 | 2019-01-22 | 中兴通讯股份有限公司 | A kind of bandwidth adjusting method, device, storage medium and the network equipment |
| CN109328469A (en) * | 2016-06-20 | 2019-02-12 | 日本电气株式会社 | The method of communication network device, communications network system and communication network device |
| US10298505B1 (en) * | 2017-11-20 | 2019-05-21 | International Business Machines Corporation | Data congestion control in hierarchical sensor networks |
| CN110191065A (en) * | 2019-06-08 | 2019-08-30 | 西安电子科技大学 | High-performance supported balanced System and method for based on software defined network |
-
2019
- 2019-11-29 CN CN201911200045.2A patent/CN112887225B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6144639A (en) * | 1996-09-03 | 2000-11-07 | Sbc Technology Resources, Inc. | Apparatus and method for congestion control in high speed networks |
| CN101534242A (en) * | 2008-03-11 | 2009-09-16 | 大唐移动通信设备有限公司 | Method for controlling flow and system and equipment thereof |
| US20100329118A1 (en) * | 2009-06-30 | 2010-12-30 | Razoom, Inc. | FLOW STATE AWARE MANAGEMENT OF QoS THROUGH DYNAMIC AGGREGATE BANDWIDTH ADJUSTMENTS |
| CN101964754A (en) * | 2010-11-01 | 2011-02-02 | 南京邮电大学 | Point to point (P2P) service identification-based quality of service (QoS) routing method |
| CN102025635A (en) * | 2010-12-16 | 2011-04-20 | 浪潮(北京)电子信息产业有限公司 | Method and device for controlling flow of network working under full duplex model |
| CN102710374A (en) * | 2012-05-28 | 2012-10-03 | 天津大学 | Speed control method in wireless streaming media transmission |
| US9246828B1 (en) * | 2014-06-18 | 2016-01-26 | Juniper Networks, Inc. | Traffic-aware sampling rate adjustment within a network device |
| US20160234078A1 (en) * | 2015-02-11 | 2016-08-11 | At&T Intellectual Property I, Lp | Method and system for managing service quality according to network status predictions |
| CN109328469A (en) * | 2016-06-20 | 2019-02-12 | 日本电气株式会社 | The method of communication network device, communications network system and communication network device |
| CN109257304A (en) * | 2017-07-12 | 2019-01-22 | 中兴通讯股份有限公司 | A kind of bandwidth adjusting method, device, storage medium and the network equipment |
| US10298505B1 (en) * | 2017-11-20 | 2019-05-21 | International Business Machines Corporation | Data congestion control in hierarchical sensor networks |
| CN110191065A (en) * | 2019-06-08 | 2019-08-30 | 西安电子科技大学 | High-performance supported balanced System and method for based on software defined network |
Non-Patent Citations (2)
| Title |
|---|
| ANDREAS KLEIN等: "A novel approach for combined Joint Call Admission Control and Dynamic Bandwidth Adaptation in heterogeneous wireless networks", 《2011 7TH EURO-NGI CONFERENCE ON NEXT GENERATION INTERNET NETWORKS》 * |
| 翟继友等: "自适应的带宽门限接纳控制算法", 《万方数据库》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112887225B (en) | 2023-09-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109618002B (en) | Micro-service gateway optimization method, device and storage medium | |
| CN101815033B (en) | Method, device and system for load balancing | |
| CN104348798B (en) | A kind of method, apparatus, dispatch server and system for distributing network | |
| CN111478857B (en) | Interface current limiting control method and device and electronic equipment | |
| WO2022104754A1 (en) | Network resource management method, management apparatus, electronic device, and storage medium | |
| CN106301864B (en) | Server system capacity expansion method and device and capacity expansion processing equipment | |
| WO2014194704A1 (en) | A grouping processing method and system | |
| CN108271219B (en) | Method and device for controlling wireless network resources | |
| CN110198267B (en) | Traffic scheduling method, system and server | |
| US20190104174A1 (en) | Load processing method and apparatus | |
| CN105978938A (en) | Service processing equipment service status determining method and scheduling equipment | |
| CN111030945A (en) | Disaster recovery method, disaster recovery gateway, storage medium, device and system | |
| CN111385328B (en) | Service request processing method, system and electronic equipment | |
| CN108366133B (en) | TS server scheduling method, scheduling device and storage medium | |
| CN112260962B (en) | Bandwidth control method and device | |
| CN110995856B (en) | Method, device and equipment for server expansion and storage medium | |
| CN112218334B (en) | Dynamic optimization method and device for core network load and computing equipment | |
| CN112202589B (en) | Network service management and control method and system | |
| WO2017118129A1 (en) | Spectrum resource sharing method and apparatus | |
| CN112887225B (en) | Flow rate control method and system based on SP service in EPC network | |
| CN111124669A (en) | Operation method, system, terminal and storage medium of distributed SaaS software | |
| CN115086331A (en) | Cloud equipment scheduling method, device and system, electronic equipment and storage medium | |
| US9479579B2 (en) | Grouping processing method and system | |
| CN115580618A (en) | Load balancing method, device, equipment and medium | |
| CN113630786B (en) | Network data traffic prediction method, device, computing equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |