A method, device and system for optimal scheduling of multimedia traffic based on SDN

Abstract

The embodiment of the present invention provides an SDN-based multimedia traffic optimization scheduling method, device and system. The method includes: receiving the first service processing request sent by the switch; when the first service processing request matches the saved matching table successfully, according to The address information of the user determines the level of the user, and determines the target cache server according to the first distance threshold corresponding to the user level; generates the first flow entry according to the target cache server, and makes the switch send the corresponding second service processing request to the target cache server . In the implementation of the present invention, when the user requests resources from the source server, a service processing request is sent to the switch, and when the switch does not have a flow entry corresponding to the request locally, the first service request is sent to the controller, and the controller determines the target cache server, The switch can access the target cache server and provide resources to users, reducing the difficulty and complexity of user operations and increasing the transparency of user use.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a method, device and system for optimal scheduling of multimedia traffic based on Software Defined Networking (SDN). Background technique [0002] In today's era, mobile Internet, big data, cloud computing, e-commerce and other services are rapidly emerging. As more and more users choose to use the Internet for business, office, entertainment and other activities, more and more existing network structures are emerging. Problems, among them, the excessive load pressure of the source server is more prominent. When users request resources through the network, each user's business request will reach the source server, resulting in excessive pressure on the source server. [0003] In the prior art, the pressure on the source server is mainly relieved through network proxy technology, that is, a cache server is set between the user and the source server, and the cache ...

AI Technical Summary

Problems solved by technology

[0004] However, the use of network proxy technology requires users to know the cache server's IP, service port, and cache resources in advance, and to configure the cache server settings on the user's terminal device or application program, which increases the difficulty and complexity of user operations. , and non-transparent to the user

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