Research On Platform Of Media Streaming Over Peer-to-Peer Network

Multimedia streaming over the Internet is booming nowadays. However, the streaming quality is generally unsatisfactory. For large-scalable broadcasting, the traditional Internet model of point-to-point unicast communication does not scale, so, the networking research community proposed IP multicast, a network layer service that allows a single source to distribute a data stream to many simultaneous receivers in an efficient manner. However, this network layer approach has met with limited success due to a number of factors including complexity of network protocol itself, its inability to address Internet heterogeneity, and its lack of support for efficient and scalable transport protocol s for reliability and congestion control. As a result, in spite of a decade of existence, the multicast protocol architecture remains just a research commodity with limited penetration into commercially deployed Internet.In order to improve the efficiency of Streaming over the Internet, media over P2P network is proposed. First, we gave an overview of the P2P technical framework and summarized several classical models about media streaming on P2P networks. Previous works have all demonstrated that there is always a tradeoff among bandwidth efficiency, delay and reliability.This paper presents a new partially decentralized topology P2P model: The model tries to achieve a better trade-off, by leveraging the advances in both P2P and C/S.The core operations in model are very simple: every node periodically exchanges data availability information with a set of partners, and retrieves unavailable data from one or more partners, or supplies available data to partners. We emphasize four salient features of it:⑴easy to implement, as it does not have to construct and maintain a complex application multicast tree, it also does not have to deploy complex group management protocol, peers are managed by a central server;⑵robust and resilient, as the partnerships enable adaptive and quick switching among mufti-suppliers;⑶scalability, as media data distributed in a P2P manner, more users, more quickly; and⑷heterogeneity adaptive, every can update partnership intelligently to find a smart node for media segment.Finally, this paper presents some key on how to build software according to this model, and then, implement a project named Honeycomb. At the end of this paper, it analysese the capability of the model.