SDN network topology traffic visualization monitoring method and control terminal

Abstract

The invention discloses a method for visual monitoring of SDN network topology flow, comprising steps: 1) the front end sends a network topology request, calls a northbound interface through the background, receives the front end request and forwards it to an SDN controller; 2) the SDN controller processes the request, and Respond to the link information of the switch, router and host through the southbound interface, deduplicate and merge the connection relationship of the device port, and generate the logical relationship between the devices; 3) According to the logical relationship between the devices, it is dynamically rendered into a TOPO relationship diagram; 4) Obtain the network traffic of the device or overall device collected by S-Flow data according to the TOPO relationship diagram, and return to the front end; 5) According to the user's selection, display all network topologies, traffic usage of a single switch or a single host, which is convenient for Network resources are coordinated and allocated. The invention also discloses an SDN network topology controller control terminal, which can perform statistical analysis and display on the total network traffic and abnormal network traffic.

Description

technical field [0001] The invention relates to the technical field of network communication, in particular to a method and system for visual monitoring of SDN (Software Defined Networking) network topology flow. Background technique [0002] Network topology information plays an important role in network management, network security research and network performance analysis. In order for people to intuitively understand, observe and analyze the entire network status, the visualization of network topology traffic can better coordinate the allocation of network resources and provide the utilization rate of network resources. [0003] Traditional network topology traffic is unevenly distributed, and traffic is easy to gather at the core root node, which makes the core node easy to become the bottleneck of network performance and cannot accurately monitor network traffic. In addition, the maintenance cost of the traditional network topology is high, the workload of statistical...

AI Technical Summary

Problems solved by technology

[0003] The traditional network topology traffic distribution is uneven, and the traffic is easy to gather at the core root node, which makes the core node easy to become the bottleneck of network performance and cannot accurately monitor the network traffic

In addition, the maintenance cost of the traditional network topology is high, the workload of statistical traffic is heavy, and the response speed is slow. The network topology model cannot be manually built on the software terminal, and the degree of visualization is low.

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