Caching collaboration and cache allocation in peer-to-peer video systems
Multimedia Tools and Applications
TOBAB: a trend-oriented bandwidth adaptive buffering in peer-to-peer streaming system
ATC'06 Proceedings of the Third international conference on Autonomic and Trusted Computing
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Providing scalable video services in a peer-to-peer (P2P) environment is challenging. Since videos are typically large and require high communication bandwidth for delivery, many peers may be unwilling to cache them in whole to serve others. In this paper, we address two fundamental research problems in providing scalable P2P video services, namely (1) how a host can find enough video pieces, which may scatter among the whole system, to assemble a complete video, and (2) given a limited buffer size, what part of a video a host should cache. We propose a new distributed video management technique. Our scheme organizes hosts into a number of cells, each of which is a distinct set of hosts which together can supply a video in its entirety. A client looking for a video can stop its search as soon as it finds a host that caches any part of the video. Caching operations can be coordinated within each cell to balance data redundancy in the system. Our extensive study on a Gnutella-like simulation network shows convincingly the performance advantage of the new scheme.