CN110493146A - A kind of Edge intelligence network aware platform and control method - Google Patents
A kind of Edge intelligence network aware platform and control method Download PDFInfo
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- CN110493146A CN110493146A CN201910740742.0A CN201910740742A CN110493146A CN 110493146 A CN110493146 A CN 110493146A CN 201910740742 A CN201910740742 A CN 201910740742A CN 110493146 A CN110493146 A CN 110493146A
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- 238000012517 data analytics Methods 0.000 claims abstract description 36
- 238000004458 analytical method Methods 0.000 claims abstract description 24
- 238000012544 monitoring process Methods 0.000 claims description 22
- 238000012545 processing Methods 0.000 claims description 11
- 230000006698 induction Effects 0.000 claims description 9
- 238000012360 testing method Methods 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 description 12
- 238000007405 data analysis Methods 0.000 description 5
- 230000008447 perception Effects 0.000 description 4
- 238000007792 addition Methods 0.000 description 2
- 230000019771 cognition Effects 0.000 description 2
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- 239000006185 dispersion Substances 0.000 description 2
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0677—Localisation of faults
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/147—Network analysis or design for predicting network behaviour
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
- H04L43/0894—Packet rate
-
- 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
- H04L47/2425—Traffic characterised by specific attributes, e.g. priority or QoS for supporting services specification, e.g. SLA
- H04L47/2433—Allocation of priorities to traffic types
Abstract
The present invention relates to a kind of Edge intelligence network aware platforms, including SDN controller, terminal, operation system, physical equipment, acquisition server and data analytics server, the SDN controller is connect with the physical equipment, the acquisition server and the data analytics server respectively, the physical equipment is connect with the acquisition server, the acquisition server is connect with the data analytics server, and the terminal is connect by the physical equipment with the operation system.Edge intelligence network aware platform of the invention has the advantages that easy analysis, real-time high-efficiency, quick response, precise positioning, convenient test.
Description
Technical field
The present invention relates to computer network cognition technology fields, and in particular to a kind of Edge intelligence network aware platform and control
Method processed.
Background technique
Certain network aware technologies have the requirement for having network real-time perception, business monitoring, traffic forecast to whole system, are
Can network implementations fine granularity, fining perception, need to realize the monitoring of application level to the data for flowing through network, and press
It provides that business is monitored and is predicted under global network view.In recent years, with the development of edge calculations, in order to subtract
Few delay, originally much the data of access core business are slowly transferred to network edge from data center and calculate center, net
Network edge calculations center becomes network, at this moment the entrance of user data has centralized control, the software definition of Network Programmable
The network architecture becomes the advantage technology that network edge calculates central site network framework.
Due to the island mode of the network equipment in traditional network architecture, traditional network aware technology often analyzes next
As a result all it is dispersion, is hardly formed a form of overall importance, and lacks and message and application can be combined
Monitoring technology, so that the application of User Exploitation is unable to real-time perception network and makes corresponding adjustment in time.
Summary of the invention
In order to solve analysis result present in above-mentioned traditional network cognition technology dispersion, it is difficult to formed form of overall importance with
And the problem of being unable to real-time perception and monitoring, the present invention provides a kind of Edge intelligence network aware platform and control methods, adopt
With centralized management, business processing is more reasonable, and safety is more preferable, is capable of forming the data management of concentration, and height of overall importance is convenient
It is monitored in real time.
In order to solve the above technical problems, the present invention the following technical schemes are provided:
A kind of Edge intelligence network aware platform, including SDN controller, terminal, operation system, physical equipment, acquisition clothes
Be engaged in device and data analytics server, the SDN controller respectively with the physical equipment, the acquisition server and described
Data analytics server connection, the physical equipment are connect with the acquisition server, the acquisition server and the data
Analysis server connection, the terminal are connect by the physical equipment with the operation system.Edge intelligence net of the invention
SDN controller, terminal, operation system, physical equipment, acquisition server in network aware platform, data analytics server are constituted
One Edge intelligence network aware platform, the network pass through packet check technology to the message of the network managed and corresponding first
Application sorted out one by one, the interface of SDN controller open applications priority, different to different application settings is preferential
Grade, is handled according to the order of importance and emergency of application, while SDN controller sets priority, physical equipment root to acquisition server
Different acquisition server and Analysis server are transmitted data to according to priority to be analyzed, result displaying is finally carried out, and are used
It is this to be based on software definition application method and network aware technology grasp global information is combined to set different service classification
The advantages of priority, easy analysis, real-time high-efficiency, quick response, precise positioning, convenient test, is able to satisfy view of overall importance, use
Family real-time, monitor bypass business monitoring mode do not influence main business, acquisition and analysis decoupling and require.
Further, the terminal, the physical equipment, the acquisition server and the data analytics server
Quantity is several, and each physical equipment is connect with all acquisition servers simultaneously, each acquisition clothes
Business device is connect with all physical equipments simultaneously, and each acquisition server takes with all data analyses simultaneously
Business device connection, each data analytics server are connect with all acquisition servers simultaneously, and Strengthens network connection mentions
The rate of high real-time response realizes precise positioning.
Further, the connection between the SDN controller and the physical equipment is the network connection that can exchange visits, the object
Connection between reason equipment and the acquisition server is the network connection that can exchange visits, and the acquisition server and the data are analyzed
Connection between server is the network connection that can exchange visits, easy analysis, and has real-time high-efficiency, quick response and precisely calmly
The characteristics of position.
A kind of Edge intelligence network aware platform courses method, comprising the following steps:
S1:SDN controller sets priority to business datum, monitors total network links status information, link bandwidth, congestion journey
Degree, and drainage rule and order are issued to physical equipment, and processing physical equipment reports the data for not setting priority；
S2: when there is data to come, physical equipment does not execute if mismatching it is first determined whether matching, if having
Match, then selects the order to match and rule；
S3: physical equipment sends out matched data according to the priority of data and the bandwidth of current ink, Congestion Level SPCC
It is sent to the acquisition server met；
S4: acquisition server is according to the order of importance and emergency of business datum and the bandwidth of current ink, Congestion Level SPCC by data
It is sent to inside data analytics server and is analyzed, concluded；
S5: data analytics server returns to SDN controller for result is analyzed；
S6:SDN controller performs corresponding processing based on the analysis results, including the monitoring of business monitoring, user experience, failure
Positioning, congestion period forecasting and business system server performance prediction.
Further, in step sl, the rule and order are five-tuple data or the data for a certain agreement, are fitted
Wide with range, practicability is high.
Further, in step s 4, data analytics server carries out analytic induction summary to the data of acquisition server,
Processing sequence is the priority of business first, followed by selection reporting schemes, including reports and obtain with SDN controller automatically, real
Existing real-time response, forms monitoring of overall importance.
Further, in step s 6, the analysis result treatment mode of SDN control are as follows: SDN controller is analyzed according to data
Analysis result that server reports automatically carry out again analytic induction then carry out business monitoring, user experience monitoring, fault location,
Congestion period forecasting and business system server performance prediction, fast response time position more accurate.
Further, in step s 6, the analysis result treatment mode of SDN control are as follows: SDN controller is periodically or non-periodically
Obtain that SDN controller or user want in data analytics server as a result, then summary and induction goes out the knot that user wants
Fruit, or the rule being previously set according to user and order carry out event handling, are easy to use, and practicability is high.
Further, SDN controller can issue rule and order to physical equipment by the customized business interface of user,
It can not only be monitored on the physical devices for the data of a certain agreement by monitor bypass mode, it can also be to a certain use
The data at family are monitored, and can adjust in real time user's through this mode SDN with the business experience of real-time acquisition system user
Experience.
Further, SDN controller can be with dynamic change to the monitoring of operation system, and user is open corresponding on controller
Interface, controller can be changed in real time according to the additions and deletions of user look into operation is responded in time, finally by data analysis clothes
Business device reports automatically or controller is obtained to data analytics server and analyzed as a result, more convenient to use.
Compared with prior art, the invention has the following advantages:
1, SDN controller respectively sends out data according to the different priority of business, monitoring link bandwidth and Congestion Level SPCC
It is sent to corresponding acquisition server and data analytics server, network utilization is higher since then, and business processing is more reasonable；
2, be monitored, acquire and analyze decoupling using monitor bypass mode, do not influence main business operation, safety compared with
It is good；
3, SDN controller using centralization control network physical equipment, global view can quickly and precise positioning fault point,
And it can be predicted according to global information；
4, have the advantages that easy analysis, real-time high-efficiency, quick response, precise positioning, convenient test.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
Attached drawing obtains other attached drawings.
Fig. 1 is a kind of structural schematic diagram of Edge intelligence network aware platform of the present invention.
Fig. 2 is a kind of flow chart of Edge intelligence network aware platform courses method of the present invention.
Specific embodiment
The technical scheme in the embodiments of the invention will be clearly and completely described below, it is clear that described implementation
Example is only a part of the embodiments of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common
Technical staff's all other embodiment obtained without making creative work belongs to the model that the present invention protects
It encloses.
The embodiment of the present invention includes:
Embodiment one:
As shown in Figure 1, a kind of Edge intelligence network aware platform, including SDN controller, terminal, operation system, physics are set
Standby, acquisition server and data analytics server, the SDN controller are serviced with the physical equipment, the acquisition respectively
Device and data analytics server connection, the physical equipment are connect with the acquisition server, the acquisition server
It is connect with the data analytics server, the terminal is connect by the physical equipment with the operation system.Of the invention
SDN controller, terminal, operation system, physical equipment, acquisition server in Edge intelligence network aware platform, data analysis
Server constitutes an Edge intelligence network aware platform, which passes through packet check technology to the network managed first
Message and corresponding application are sorted out one by one, the interface of SDN controller open applications priority, not to different application settings
Same priority, is handled according to the order of importance and emergency of application, while SDN controller sets priority, object to acquisition server
Reason equipment transmits data to different acquisition server and Analysis server according to priority and is analyzed, and finally carries out result
It shows, software definition application method and combination network aware technology grasp global information is based on this, to service classification, setting
The advantages of different priority, easy analysis, real-time high-efficiency, quick response, precise positioning, convenient test, is able to satisfy of overall importance
View, user's real-time, monitor bypass business monitoring mode do not influence main business, acquisition and analysis decoupling and require.
As shown in Figure 1, the terminal, the physical equipment, the acquisition server and the data analytics server
Quantity be several, each physical equipment simultaneously connect with all acquisition servers, each acquisition
Server is connect with all physical equipments simultaneously, and each acquisition server is analyzed with all data simultaneously
Server connection, each data analytics server are connect with all acquisition servers simultaneously, Strengthens network connection,
The rate of real-time response is improved, realizes precise positioning.
In the present embodiment, the connection between the SDN controller and the physical equipment is the network connection that can exchange visits, institute
Stating the connection between physical equipment and the acquisition server is can exchange visits network connection, the acquisition server and the data
Connection between Analysis server is the network connection that can exchange visits, easy analysis, and with real-time high-efficiency, quick response and essence
Certainly position the characteristics of.
As shown in Fig. 2, a kind of Edge intelligence network aware platform courses method, comprising the following steps:
S1:SDN controller sets priority to business datum, monitors total network links status information, link bandwidth, congestion journey
Degree, and drainage rule and order are issued to physical equipment, and processing physical equipment reports the data for not setting priority；
S2: when there is data to come, physical equipment does not execute if mismatching it is first determined whether matching, if having
Match, then selects the order to match and rule；
S3: physical equipment sends out matched data according to the priority of data and the bandwidth of current ink, Congestion Level SPCC
It is sent to the acquisition server met；
S4: acquisition server is according to the order of importance and emergency of business datum and the bandwidth of current ink, Congestion Level SPCC by data
It is sent to inside data analytics server and is analyzed, concluded；
S5: data analytics server returns to SDN controller for result is analyzed；
S6:SDN controller performs corresponding processing based on the analysis results, including the monitoring of business monitoring, user experience, failure
Positioning, congestion period forecasting and business system server performance prediction.
In the present embodiment, in step sl, the rule and order are five-tuple data or the number for a certain agreement
According to applied widely, practicability is high.
In the present embodiment, in step s 4, data analytics server carries out analytic induction to the data of acquisition server
It summarizes, processing sequence is the priority of business first, followed by selection reporting schemes, including reports and obtain with SDN controller automatically
It takes, realizes real-time response, form monitoring of overall importance.
In the present embodiment, in step s 6, the analysis result treatment mode of SDN control are as follows: SDN controller is according to data
The analysis result that Analysis server reports automatically carries out again analytic induction and then carries out business monitoring, user experience monitoring, failure
Positioning, congestion period forecasting and business system server performance prediction, fast response time position more accurate.
In the present embodiment, SDN controller can by the customized business interface of user to physical equipment issue rule and
Order can not only be monitored for the data of a certain agreement on the physical devices by monitor bypass mode, can also be right
The data of a certain user are monitored, and can be adjusted in real time with the business experience of real-time acquisition system user through this mode SDN
The experience of user.
In the present embodiment, SDN controller can be with dynamic change to the monitoring of operation system, and user is open on controller
Corresponding interface, controller can change to look into operate in real time according to the additions and deletions of user to be responded in time, finally by data point
Analysis server reports automatically or controller is obtained to data analytics server and analyzed as a result, more convenient to use.
Embodiment two:
Embodiment two is similar with embodiment one, and difference is, in the present embodiment, in step s 6, SDN control
Analyze result treatment mode are as follows: SDN controller periodically or non-periodically obtains SDN controller or use in data analytics server
Family want as a result, then summary and induction go out it is that user wants as a result, according to user be previously set rule and order into
Row event handling is easy to use, and practicability is high.
The above description is only an embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright description is applied directly or indirectly in other relevant technology necks
Domain is included within the scope of the present invention.
Claims (8)
1. a kind of Edge intelligence network aware platform, which is characterized in that set including SDN controller, terminal, operation system, physics
Standby, acquisition server and data analytics server, the SDN controller are serviced with the physical equipment, the acquisition respectively
Device and data analytics server connection, the physical equipment are connect with the acquisition server, the acquisition server
It is connect with the data analytics server, the terminal is connect by the physical equipment with the operation system.
2. Edge intelligence network aware platform according to claim 1, which is characterized in that the terminal, the physics are set
The quantity of standby, the described acquisition server and the data analytics server is several, and each physical equipment is same
When connect with all acquisition servers, each acquisition server simultaneously connect with all physical equipments, often
One acquisition server is connect with all data analytics servers simultaneously, and each data analytics server is same
When connect with all acquisition servers.
3. Edge intelligence network aware platform according to claim 2, which is characterized in that the SDN controller with it is described
Connection between physical equipment is the network connection that can exchange visits, and the connection between the physical equipment and the acquisition server is can
It exchanges visits and is connected to the network, the connection between the acquisition server and the data analytics server is the network connection that can exchange visits.
4. a kind of control method of Edge intelligence network aware platform according to claim 3, which is characterized in that including with
Lower step:
S1:SDN controller sets priority to business datum, monitors total network links status information, link bandwidth, Congestion Level SPCC,
And drainage rule and order are issued to physical equipment, and processing physical equipment reports the data for not setting priority；
S2: when there is data to come, physical equipment does not execute, if there is matching, then it is first determined whether matching if mismatching
Select the order and rule to match；
S3: physical equipment sends matched data to according to the priority of data and the bandwidth of current ink, Congestion Level SPCC
The acquisition server met；
S4: acquisition server sends data according to the order of importance and emergency of business datum and the bandwidth of current ink, Congestion Level SPCC
It analyzed, concluded inside to data analytics server；
S5: data analytics server returns to SDN controller for result is analyzed；
S6:SDN controller performs corresponding processing based on the analysis results, including business monitoring, user experience monitor, failure is fixed
Position, congestion period forecasting and business system server performance prediction.
5. Edge intelligence network aware platform courses method according to claim 4, which is characterized in that in step sl,
The rule and order are five-tuple data or the data for a certain agreement.
6. Edge intelligence network aware platform courses method according to claim 4, which is characterized in that in step s 4,
Data analytics server carries out analytic induction summary to the data of acquisition server, and processing sequence is the priority of business first,
Reporting schemes are followed by selected, including reports and is obtained with SDN controller automatically.
7. Edge intelligence network aware platform courses method according to claim 4, which is characterized in that in step s 6,
The analysis result treatment mode of SDN control are as follows: SDN controller is carried out according to the analysis result that data analytics server reports automatically
Again then analytic induction carries out business monitoring, user experience monitoring, fault location, congestion period forecasting and operation system service
Device performance prediction.
8. Edge intelligence network aware platform courses method according to claim 4, which is characterized in that in step s 6,
The analysis result treatment mode of SDN control are as follows: SDN controller periodically or non-periodically obtains SDN control in data analytics server
It is that device processed or user want as a result, then summary and induction go out it is that user wants as a result, the rule that are previously set according to user
Then event handling is carried out with order.
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| CN201910740742.0A CN110493146B (en) | 2019-08-12 | 2019-08-12 | Edge intelligent network sensing platform and control method |
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| CN110493146B (en) | 2023-11-07 |
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