A method, device and system for network optimization

Abstract

The present invention provides a method, device and system for network optimization, wherein the method includes: determining current policy information; selecting a server from a server list as a target server, and based on current network parameters matching current data parameters The target data is sent to the target server; the current data parameters and / or the current network parameters are adjusted according to the adjustment parameter instruction issued by the target server, and the target data matching the adjusted current data parameters is sent to the target server based on the adjusted current network parameters. target server. With the network optimization method, device and system provided by the embodiments of the present invention, network requests can be made based on policy information, an appropriate target server can be selected, and data can be sent based on current data parameters and current network parameters; Adjust and update policy information to realize real-time optimization of the network, and the optimization granularity is more detailed, and the adjustment methods are also diversified.

Description

technical field [0001] The present invention relates to the technical field of network optimization, in particular to a method, device and system for network optimization. Background technique [0002] In the application scenario of real-time audio and video communication, the client needs to connect to the server to realize the transmission of audio and video data. Due to the different states of regions, network operators, and client devices, different servers need to be assigned to different clients, and the data transmission strategy can be adjusted in real time when there is a problem with data transmission. If the server fails, other servers can be quickly assigned to the client. The server ensures the availability and real-time performance of audio and video data transmission. [0003] At present, the commonly used scheme is to allocate the optimal server to the client through scheduling, and switch to a new server when a failure occurs. There are two main scheduling ...

AI Technical Summary

Problems solved by technology

For the DNS-based scheduling method, the local DNS server uses a cache, and data updates are delayed. It takes 10-20 minutes for the entire network to take effect, which cannot meet the needs of real-time scheduling. At the same time, there are problems such as DNS hijacking.

For the scheduling method based on HttpDNS, it only supports maintaining a static server IP list, and can only be scheduled according to the region and operator of the client. It cannot obtain different server IP lists according to the status of each client. The granularity is not fine enough, and network optimization cannot be completed in real time in a targeted manner

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