Intelligent video content server deployment method and system

Abstract

The invention provides an intelligent video content server deployment method and system; the method comprises the following steps: obtaining network topology information; encoding evolution algorithmchromosomes according to the network topology information, wherein each chromosome array represents a feasible solution; forming a multi-source multi-sink network topology model according to the feasible solutions, and using same as an initial server deployment solution; converting the multi-source multi-sink network topology model into a single-source single-sink network topology model; using a minimum cost maximum flow algorithm to determine an adaption value of each network topology model in the evolution algorithm; using the evolution algorithm to carry out multiple iterations, continuously evolving, keeping the individual with the minimum adaptation in each generation, and finally obtaining the video content server deployment optimum scheme. The method and system can intelligently deploy video content servers, thus ensuring user bandwidth demands, and minimizing the video content server deployment cost and bandwidth rental fee.

Description

technical field [0001] The invention relates to the fields of computer science and technology, artificial intelligence, and server deployment, in particular to a method and system for deploying video content servers by means of artificial intelligence algorithms. Background technique [0002] With the advent of the big video era, the video viewing experience has become increasingly important. The deployment location of the video content server determines the viewing experience of the end user and the cost of the video service provider. In view of users' bandwidth requirements, current technical research is mainly based on existing servers and satisfying them through reasonable allocation of bandwidth. The existing problem is: due to the rapid increase of the number of users and the rapid increase of the bandwidth demand, the existing server has been unable to meet the user's bandwidth demand, so that the bandwidth cannot be allocated to meet the user's demand. [0003] How...

AI Technical Summary

Problems solved by technology

The existing problem is: due to the rapid increase in the number of users and the rapid increase in bandwidth requirements, the existing servers have been unable to meet the bandwidth requirements of users, so it is impossible to meet user needs by allocating bandwidth

[0003] However, in the research on server deployment, the existing technology ignores the problems of server deployment cost and bandwidth rental cost, resulting in huge service cost for video service providers.

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