Streaming media buffering proxy server system based on cluster

Abstract

The invention discloses a group flow media buffer proxy server system including a control joint and a buffer joint. The control joint is realized in the Linux kernel layer, including connection managing model, dispatching model, load collecting model and global substituting model. The buffer joint includes RTSP connection managing model, RTP meeting managing model, buffer managing model, load supervising model and global substituting model. The system uses the merits of the group system, upgrades the buffer space management and efficiency; the system realizes a buffer managing tactics based on the combination of prefix and suffix of logic segment, the tactics synthesizes the buffer technology and prefix buffer technology, upgrades the buffer managing efficiency greatly.

Description

technical field [0001] The invention belongs to the technical field of computer streaming media services, in particular to a cluster-based streaming media caching proxy server system. Background technique [0002] With the rapid development of the Internet and the gradual maturity and popularization of broadband access technology in recent years, Internet streaming media applications such as video on demand, distance education, and e-commerce have become increasingly widespread. Although streaming media objects can be played in a similar way to traditional Web objects (such as HTML pages and GIF images), that is, they are downloaded and then played, but because streaming media objects are usually relatively large, this method of downloading and playing The way of the client has caused a large playback start delay, which affects the quality of streaming media services. In order to solve this problem, a new technology-streaming playback technology came into being. This techn...

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Problems solved by technology

[0003] However, while the popularity of streaming media applications is accelerating, the number of users of Internet streaming media services is also increasing rapidly, which inevitably brings about problems such as heavier loads on streaming media servers, longer playback response delays at clients, and backbone network congestion.

The traditional solution to these problems is to continuously upgrade the streaming media server and increase the client network access bandwidth, but they cannot fundamentally solve the problem: the server upgrade speed is lower than the growth rate of the number of users; increasing the network access bandwidth Does not alleviate congestion on the backbone network; upgrading the backbone network would be costly

However, on the one hand, these architectures pay too much attention to theory, and have not formed a practical prototype system; cooperation between

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