Software defined networking (SDN) network topology flow visual monitoring method and control terminal

Abstract

The invention discloses a software defined networking (SDN) network topology flow visual monitoring method comprising the steps of 1, sending a network topology request via a front end, calling a northbound interface, receiving the request of the front end and forwarding the request to an SDN controller; 2, processing the request, responding to link connection information of a switch, a router and a host via a southbound interface, de-weighting and combining connection relations of ports of devices, and generating logic relations between the devices by using the SDN controller; 3, dynamically rendering a TOPO association relation graph according to the logic relations between the devices; and 4, acquiring network flow, collected by S-flow data collection technology, of a device or overall devices according to the TOPO association relation graph, and returning the network flow to the front end, thus being convenient to achieve overall distribution of network resources. The invention also discloses an SDN network topology controller control terminal which can count, analyze and display the overall network flow and the abnormal network flow.

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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