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dc.contributor.authorYuan, X.
dc.contributor.authorMin, Geyong
dc.contributor.authorDing, Y.
dc.contributor.authorLiu, Q.
dc.contributor.authorLiu, J.
dc.contributor.authorYin, H.
dc.contributor.authorFang, Q.
dc.date.accessioned2016-10-07T14:40:24Z
dc.date.available2016-10-07T14:40:24Z
dc.date.issued2013
dc.identifier.citationYuan, X., Min, G., Ding, Y., Liu, Q., Liu, J., Yin, H. and Fang, Q. (2013a) Adaptive resource managment for P2P live streaming systems. Future Generation Computer Systems, 29 (6), 1573-1582.
dc.identifier.urihttp://hdl.handle.net/10454/9763
dc.descriptionno
dc.description.abstractPeer-to-Peer (P2P) has become a popular live streaming delivery technology owing to its scalability and low cost. P2P streaming systems often employ multi-channels to deliver streaming to users simultaneously, which leads to a great challenge of allocating server resources among these channels appropriately. Most existing P2P systems resort to over-allocating server resources to different channels, which results in low-efficiency and high-cost. To allocate server resources to different channels efficiently, we propose a dynamic resource allocation algorithm based on a streaming quality model for P2P live streaming systems. This algorithm can improve the channel streaming quality for multi-channel P2P live streaming system and also guarantees the streaming quality of the channels under extreme Internet conditions. In an experiment, the proposed algorithm is validated by the trace data.
dc.relation.isreferencedbyhttps://doi.org/10.1016/j.future.2012.09.002
dc.subjectP2P live streaming; Multiple channel; Channel streaming quality; Resource allocation; Scalability modelen
dc.titleAdaptive resource management for P2P live streaming systems
dc.typeJournal Article
dc.type.versionNo full-text in the repository


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