Adaptive resource management for P2P live streaming systems
Yuan, X. ; Min, Geyong ; Ding, Y. ; Liu, Q. ; Liu, J. ; Yin, H. ; Fang, Q.
Yuan, X.
Min, Geyong
Ding, Y.
Liu, Q.
Liu, J.
Yin, H.
Fang, Q.
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2013
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Abstract
Peer-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.
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Yuan, 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.
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Journal Article