Edge environment-oriented video transmission system and transmission method thereof

Abstract

The invention discloses an edge environment-oriented video transmission system and a transmission method thereof. The system mainly comprises a controller, edge equipmentdevice, mobile equipment and avideo server. And tThe controller calculates the a CPU load of anthe edge device and anthe access point edge device of the mobile device through the an edge device CPU load model, and controls the circulation of the video traffic by issuing a flow table entry to the edge device. The edge device is a carrier for bearing a network function, runs a network function instance for checking video traffic, and caches a video block. The mobile device operates the video client, can be used for watching videos, and periodically uploads position and communication radius information to the controller. Thevideo server divides a video into a plurality of video blocks with fixed sizes, and the video blocks are cached on the edge device through a caching strategy of the controller. According to the system disclosed in the invention, while the video flow is checked, the CPU overload phenomenon of the equipment device in the edge environment is relieved, and the time delay requirement of watching the video by the user is met as much as possible.

Description

technical field [0001] The invention belongs to the field of edge computing, and specifically relates to a system and a transmission method for achieving load balance between devices and meeting user delay requirements while deploying a service chain to check video traffic in an edge environment. Background technique [0002] The popularization of mobile devices makes more and more people entertain on mobile devices, and watching videos is one of the common ways of entertainment. The traffic of mobile video is usually huge, which puts forward higher and higher requirements for the real-time performance of users watching videos. The development of edge computing and network function virtualization technologies has enabled more and more enterprises to deploy services on the edge to meet users' demands for low-latency services. Enterprises can also use these services to inspect traffic in edge environments. [0003] The quality of wireless network communication in high-speed ...

AI Technical Summary

Problems solved by technology

[0004] 1. In order to discover surrounding edge devices, mobile devices need to scan multiple channels, which increases time overhead

[0005] 2. Due to the mobility of mobile devices, the distance between edge environment access points and mobile devices will continue to change, which makes fixed edge environment access points unable to transmit video traffic well, and may even cause connection interruption

[0006] 3. The suboptimal forwarding of video traffic between edge devices can easily cause the traffic to pass through the same edge device, thus causing the CPU overload of the edge device. To solve this problem, it is necessary to accurately measure the CPU load of the edge device and guide the video traffic to pass through the edge device with a lower CPU load. edge device

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