Streaming media proxy cache replacing method and device

Abstract

The invention provides a streaming media proxy cache replacing method and device. The method comprises the steps that principal component attribute data are selected from attribute data influencing popularity of streaming media files by utilizing the principal component analysis method; the popularity predicted value of streaming media objects is confirmed according to the principal component attribute data and a multivariate linear regression method, and the streaming media objects include cached streaming media in a proxy server and streaming media to be replaced into the proxy server; the comprehensive value of the streaming media objects is confirmed according to video peak signal-to-noise ratio of the streaming media objects, delay time of the streaming media objects from an original server to the proxy server and the popularity predicted value; and cache replacement is performed according to the comprehensive value of the streaming media objects and cache space of the proxy server. Streaming media proxy cache server attribute data, streaming media file attribute data and social behavior attribute data are utilized, and different environments can be adapted by adjusting weight of a streaming media quality factor and a starting delay factor so that replacing performance can be enhanced.

Description

technical field [0001] The present invention relates to communication technology, in particular to a method and device for replacing a streaming media proxy cache. Background technique [0002] With the development and widespread application of Internet technology, various forms of multimedia services are developing vigorously. More and more multimedia information such as video, sound, image and animation has become a part of people's life. However, due to the characteristics of real-time, high-bandwidth, and large data volume of streaming media, existing network equipment often cannot meet the needs of streaming media, which makes the server load too large and becomes the most important limiting factor for the widespread application of streaming media. Network congestion The phenomenon has also intensified, and the contradiction between network resources and the wide application of streaming media has become increasingly serious. [0003] In order to solve the above probl...

AI Technical Summary

Problems solved by technology

However, due to many factors affecting the prediction model, this type of algorithm does not provide a mature solution to obtain the most important influencing factors.

At the same time, this type of algorithm is aimed at improving the hit rate, without considering the impact of streaming media quality and startup delay, and cannot meet the user's requirements for streaming media quality.

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