CN210327630U - Edge intelligent network perception platform - Google Patents
Edge intelligent network perception platform Download PDFInfo
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- CN210327630U CN210327630U CN201921302786.7U CN201921302786U CN210327630U CN 210327630 U CN210327630 U CN 210327630U CN 201921302786 U CN201921302786 U CN 201921302786U CN 210327630 U CN210327630 U CN 210327630U
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Abstract
The utility model relates to an edge intelligent network perception platform, including SDN controller, terminal, service system, physical equipment, acquisition server and data analysis server, the SDN controller respectively with physical equipment acquisition server and data analysis server connects, physical equipment with acquisition server connects, acquisition server with data analysis server connects, the terminal passes through physical equipment with service system connects. The utility model discloses an edge intelligent network perception platform has analysis convenience, real-time high efficiency, quick response, accurate location, test convenient advantage.
Description
Technical Field
The utility model relates to a computer network perception technical field, concretely relates to marginal intelligent network perception platform.
Background
Some network sensing technologies have requirements for network real-time sensing, service monitoring and service prediction of the whole system, and in order to realize fine-grained and fine sensing of the network, application-level monitoring of data flowing through the network is required, and the service is monitored and predicted under a global network view according to regulations. In recent years, with the development of edge computing, in order to reduce delay, data originally accessing core services has been slowly transferred from a data center to a network edge computing center, which becomes the access of network and user data, and then has centralized control, and a network programmable software-defined network framework constitutes an advantageous technology for a network architecture of the network edge computing center.
Due to the island mode of the network equipment in the traditional network architecture, the results analyzed by the traditional network perception technology are dispersed, a global form is difficult to form, and a monitoring technology capable of combining messages and applications is lacked, so that the applications developed by users cannot perceive the network in real time and make corresponding adjustment in time.
SUMMERY OF THE UTILITY MODEL
In order to solve the analysis result dispersion that above-mentioned traditional network perception technique exists, be difficult to form global form and the problem that can not real-time perception and control, the utility model provides a marginal intelligent network perception platform adopts centralized management, and the business processing is more reasonable, and the security is better, can form centralized data management, and global nature is high, conveniently carries out real time monitoring.
In order to solve the technical problem, the utility model provides a following technical scheme:
an edge intelligent network perception platform comprises an SDN controller, a terminal, a service system, a physical device, a collection server and a data analysis server, wherein the SDN controller is respectively connected with the physical device, the collection server and the data analysis server, the physical device is connected with the collection server, the collection server is connected with the data analysis server, and the terminal is connected with the service system through the physical device. The utility model discloses a SDN controller in marginal intelligent network perception platform, a terminal, the service system, the physical equipment, the acquisition server, data analysis server constitutes a marginal intelligent network perception platform, this network at first carries out the one-by-one classification through message detection technique to the message of the network of managing and corresponding application, the interface of SDN controller open application priority, set for different priorities to different applications, handle according to the light and heavy urgency of using, the SDN controller sets for the priority to the acquisition server simultaneously, the physical equipment sends data to different acquisition server and analysis server according to the priority and analyzes, show the result at last, with this kind based on software definition application method and combine network perception technique to master global information, to the service classification, set for different priorities, analysis is convenient, real-time high efficiency, The method has the advantages of quick response, accurate positioning and convenient test, can meet the monitoring modes of global view, user real-time performance and bypass monitoring service, and does not influence the decoupling requirements of main service, acquisition and analysis.
Furthermore, the terminal, the physical device, the acquisition server and the quantity of data analysis server are a plurality of, each the physical device all simultaneously with all the acquisition server is connected, each the acquisition server all simultaneously with all the physical device is connected, each the acquisition server all simultaneously with all the data analysis server is connected, each the data analysis server all simultaneously with all the acquisition server is connected, strengthens network connection, improves the speed of real-time response, realizes accurate location.
Furthermore, the SDN controller is connected with the physical equipment through an inter-access network, the physical equipment is connected with the acquisition server through an inter-access network, the acquisition server is connected with the data analysis server through an inter-access network, analysis is convenient, and the SDN controller has the characteristics of real-time high efficiency, quick response and accurate positioning.
The utility model discloses a control method of marginal intelligent network perception platform, including following step:
s1: the SDN controller sets priority for service data, monitors link state information, link bandwidth and congestion degree of the whole network, issues a drainage rule and a command to physical equipment, and processes data of which the priority is not set and reported by the physical equipment;
s2: when data comes, the physical equipment firstly judges whether the data is matched, if not, the physical equipment does not execute the matching, and if so, the physical equipment selects a matched command and rule;
s3: the physical equipment sends the matched data to a corresponding acquisition server according to the priority of the data, the bandwidth of the current link and the congestion degree;
s4: the acquisition server sends the data to the data analysis server for analysis and induction according to the urgency of the service data and the bandwidth and congestion degree of the current link;
s5: the data analysis server returns the analysis result to the SDN controller;
s6: and the SDN controller performs corresponding processing according to the analysis result, wherein the processing comprises service monitoring, user experience monitoring, fault positioning, congestion period prediction and service system server performance prediction.
Further, in step S1, the rule and command are quintuple data or data for a certain protocol, and the application range is wide and the practicability is high.
Further, in step S4, the data analysis server analyzes, summarizes and summarizes the data of the acquisition server, and the processing sequence is firstly the priority of the service, and secondly the selection of the reporting mode, including automatic reporting and SDN controller acquisition, to implement real-time response and form global monitoring.
Further, in step S6, the analysis result processing method of the SDN control is as follows: the SDN controller conducts re-analysis and summarization according to analysis results automatically reported by the data analysis server and then conducts service monitoring, user experience monitoring, fault positioning, congestion period prediction and service system server performance prediction, response speed is high, and positioning is accurate.
Further, in step S6, the analysis result processing method of the SDN control is as follows: the SDN controller acquires the SDN controller or the result wanted by the user from the data analysis server periodically or aperiodically, then summarizes and summarizes the result wanted by the user, or carries out event processing according to the rule and the command preset by the user, so that the method is convenient to use and high in practicability.
Furthermore, the SDN controller can issue rules and commands to the physical equipment through a user-defined service interface, not only can monitor data of a certain protocol on the physical equipment in a bypass monitoring mode, but also can monitor data of a certain user, and service experience of system users can be acquired in real time through the SDN in the bypass monitoring mode, so that user experience can be adjusted in real time.
Furthermore, the monitoring of the SDN controller on the service system can be changed dynamically, a user opens a corresponding interface on the controller, the controller can respond timely according to the increasing, deleting, modifying and checking operations of the user, and finally, the analysis result is automatically reported through the data analysis server or is obtained from the data analysis server through the controller, so that the use is more convenient.
Compared with the prior art, the utility model discloses following beneficial effect has:
1. the SDN controller respectively sends data to corresponding acquisition servers and data analysis servers according to different priorities, monitoring link bandwidths and congestion degrees of services, so that the network utilization rate is higher, and the service processing is more reasonable;
2. the monitoring, acquisition and analysis decoupling are carried out by adopting a bypass monitoring mode, the operation of the main service is not influenced, and the safety is better;
3. the SDN controller adopts centralized management and control network physical equipment, a global view can quickly and accurately locate a fault point, and prediction can be performed according to global information;
4. the method has the advantages of convenient analysis, real-time high efficiency, quick response, accurate positioning and convenient test.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is the utility model relates to a structure diagram of edge intelligent network perception platform.
Fig. 2 is a flowchart of a control method of the edge intelligent network sensing platform of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely below, and it should be apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative efforts belong to the protection scope of the present invention.
The embodiment of the utility model provides an include:
the first embodiment is as follows:
as shown in fig. 1, an edge intelligent network aware platform includes an SDN controller, a terminal, a service system, a physical device, a collection server, and a data analysis server, where the SDN controller is connected to the physical device, the collection server, and the data analysis server, respectively, the physical device is connected to the collection server, the collection server is connected to the data analysis server, and the terminal is connected to the service system through the physical device. The utility model discloses a SDN controller in marginal intelligent network perception platform, a terminal, the service system, the physical equipment, the acquisition server, data analysis server constitutes a marginal intelligent network perception platform, this network at first carries out the one-by-one classification through message detection technique to the message of the network of managing and corresponding application, the interface of SDN controller open application priority, set for different priorities to different applications, handle according to the light and heavy urgency of using, the SDN controller sets for the priority to the acquisition server simultaneously, the physical equipment sends data to different acquisition server and analysis server according to the priority and analyzes, show the result at last, with this kind based on software definition application method and combine network perception technique to master global information, to the service classification, set for different priorities, analysis is convenient, real-time high efficiency, The method has the advantages of quick response, accurate positioning and convenient test, can meet the monitoring modes of global view, user real-time performance and bypass monitoring service, and does not influence the decoupling requirements of main service, acquisition and analysis.
As shown in fig. 1, the number of the terminal, the physical devices, the acquisition servers, and the data analysis servers is a plurality of, each of the physical devices is simultaneously connected to all the acquisition servers, each of the acquisition servers is simultaneously connected to all the physical devices, each of the acquisition servers is simultaneously connected to all the data analysis servers, each of the data analysis servers is simultaneously connected to all the acquisition servers, so as to enhance the network connection, improve the real-time response rate, and realize accurate positioning.
In this embodiment, the SDN controller is connected to the physical device through an inter-access network, the physical device is connected to the acquisition server through an inter-access network, and the acquisition server is connected to the data analysis server through an inter-access network, so that analysis is convenient, and the SDN controller has the characteristics of real-time high efficiency, fast response and accurate positioning.
As shown in fig. 2, the utility model discloses a control method of edge intelligent network perception platform, including following step:
s1: the SDN controller sets priority for service data, monitors link state information, link bandwidth and congestion degree of the whole network, issues a drainage rule and a command to physical equipment, and processes data of which the priority is not set and reported by the physical equipment;
s2: when data comes, the physical equipment firstly judges whether the data is matched, if not, the physical equipment does not execute the matching, and if so, the physical equipment selects a matched command and rule;
s3: the physical equipment sends the matched data to a corresponding acquisition server according to the priority of the data, the bandwidth of the current link and the congestion degree;
s4: the acquisition server sends the data to the data analysis server for analysis and induction according to the urgency of the service data and the bandwidth and congestion degree of the current link;
s5: the data analysis server returns the analysis result to the SDN controller;
s6: and the SDN controller performs corresponding processing according to the analysis result, wherein the processing comprises service monitoring, user experience monitoring, fault positioning, congestion period prediction and service system server performance prediction.
In this embodiment, in step S1, the rule and the command are quintuple data or data for a certain protocol, and the application range is wide and the practicability is high.
In this embodiment, in step S4, the data analysis server analyzes, summarizes and summarizes the data of the acquisition server, where the processing sequence is firstly the priority of the service, and secondly the processing sequence is to select a reporting mode, including automatic reporting and SDN controller acquisition, so as to implement real-time response and form global monitoring.
In this embodiment, in step S6, the analysis result processing manner of the SDN control is as follows: the SDN controller conducts re-analysis and summarization according to analysis results automatically reported by the data analysis server and then conducts service monitoring, user experience monitoring, fault positioning, congestion period prediction and service system server performance prediction, response speed is high, and positioning is accurate.
In this embodiment, the SDN controller may issue rules and commands to the physical device through a user-defined service interface, and not only may monitor data of a certain protocol on the physical device in a bypass monitoring manner, but also may monitor data of a certain user, and in this manner, the SDN may obtain service experience of a system user in real time, and adjust user experience in real time.
In this embodiment, the SDN controller may dynamically change the monitoring of the service system, a user opens a corresponding interface on the controller, the controller may respond in time according to the user's operations of addition, deletion, modification and check, and finally, an analysis result is automatically reported by the data analysis server or obtained from the data analysis server by the controller, so that the use is more convenient.
Example two:
the second embodiment is similar to the first embodiment, except that in this embodiment, in step S6, the analysis result processing manner of the SDN control is as follows: the SDN controller acquires the SDN controller or the result wanted by the user from the data analysis server periodically or aperiodically, then summarizes and summarizes the result wanted by the user, or carries out event processing according to the rule and the command preset by the user, so that the method is convenient to use and high in practicability.
The above only is the embodiment of the present invention, not limiting the patent scope of the present invention, all of which utilize the equivalent structure or equivalent flow transformation made by the content of the specification of the present invention, or directly or indirectly applied to other related technical fields, all included in the same way in the patent protection scope of the present invention.
Claims (5)
1. An edge intelligent network perception platform is characterized by comprising an SDN controller, a terminal, a service system, a physical device, a collection server and a data analysis server, wherein the SDN controller is respectively connected with the physical device, the collection server and the data analysis server, the physical device is connected with the collection server, the collection server is connected with the data analysis server, and the terminal is connected with the service system through the physical device.
2. The edge intelligent network aware platform of claim 1, wherein the number of the terminals, the physical devices, the collection servers, and the data analysis servers is several, each of the physical devices is simultaneously connected to all the collection servers, each of the collection servers is simultaneously connected to all the physical devices, each of the collection servers is simultaneously connected to all the data analysis servers, and each of the data analysis servers is simultaneously connected to all the collection servers.
3. The edge intelligent network aware platform of claim 2, wherein the connection between the SDN controller and the physical device is an inter-accessible network connection.
4. The edge intelligent network-aware platform of claim 2, wherein the connection between the physical device and the acquisition server is an inter-accessible network connection.
5. The edge intelligent network-aware platform of claim 2, wherein the connection between the collection server and the data analytics server is an inter-accessible network connection.
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| CN201921302786.7U CN210327630U (en) | 2019-08-12 | 2019-08-12 | Edge intelligent network perception platform |
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| CN201921302786.7U CN210327630U (en) | 2019-08-12 | 2019-08-12 | Edge intelligent network perception platform |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110493146A (en) * | 2019-08-12 | 2019-11-22 | 广东电网有限责任公司 | A kind of Edge intelligence network aware platform and control method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110493146A (en) * | 2019-08-12 | 2019-11-22 | 广东电网有限责任公司 | A kind of Edge intelligence network aware platform and control method |
| CN110493146B (en) * | 2019-08-12 | 2023-11-07 | 广东电网有限责任公司 | Edge intelligent network sensing platform and control method |
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