Network traffic load sharing method, device and system, and storage medium

Abstract

The invention discloses a load sharing method for network flow and a storage medium. The load sharing method comprises the following steps: S100, a controller dynamically collects and sorts the flow of each data flow; s200, a big data stream is selected from the data streams by the controller; s300, the controller selects a forwarding path of each big data stream according to the source address and the destination address of each big data stream in combination with a forwarding rule of each forwarding device; s400, the controller obtains an access switch and an access virtual machine of each big data stream, and establishes a plurality of virtual tunnels corresponding to the big data streams on the access virtual machine; s500, the controller shares the big data flow to a plurality of corresponding virtual tunnels; s600, the access switch sends the flow to a physical port corresponding to the virtual tunnel; and S700: the virtual tunnel resources accessed to the virtual machine is dynamically recovered, and the traffic load sharing in the next adjustment period is performed. According to the method, the traffic of the big data stream can be prevented from being concentrated on a single access switch, and congestion of an access layer is prevented.

Description

technical field [0001] The present invention relates to the communication field, in particular to a load sharing method, storage medium, device and system for network traffic. Background technique [0002] With the continuous development of enterprise business, virtual networks such as virtual routers, virtual switches, and virtual firewalls have gradually matured, and SDN software-defined networks have gradually become the main method for deploying networks in data centers. Currently, network component deployment relies on artificial environments, and traffic sharing and drainage rely on Due to manual pre-configuration, and with the development of business, the traffic model is constantly changing. The previous traffic distribution configuration is not suitable for the new model, and manual adjustment is required, resulting in a relatively large manual workload and untimely traffic adjustment. Contents of the invention [0003] Purpose of the invention: the purpose of the...

AI Technical Summary

Problems solved by technology

[0002] With the continuous development of enterprise business, virtual networks such as virtual routers, virtual switches, and virtual firewalls have gradually matured, and SDN software-defined networks have gradually become the main method for deploying networks in data centers. Currently, network component deployment relies on artificial environments, and traffic sharing and drainage rely on Due to manual pre-configuration, and with the development of business, the traffic model is constantly changing. The previous traffic distribution configuration is not suitable for the new model, and manual adjustment is required, resulting in a relatively large manual workload and untimely traffic adjustment.

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