Query Adaptation Techniques in Temporal-DHT for P2P Media Streaming Applications

Abhishek Bhattacharya, Zhenyu Yang and Deng Pan
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Abhishek Bhattacharya: School of Computing and Information Sciences, Florida International University, USA
Zhenyu Yang: School of Computing and Information Sciences, Florida International University, USA
Deng Pan: School of Computing and Information Sciences, Florida International University, USA

International Journal of Multimedia Data Engineering and Management (IJMDEM), 2012, vol. 3, issue 3, 45-65

Abstract: Peer-to-Peer (P2P)-based approach for on-demand video streaming systems (P2P-VoD) characterized by asynchronous user-interactivity has proven to be practical and effective in recent years with real-world Internet-scale deployment (Huang, Li, & Ross, 2007). Current state-of-art P2P-VoD systems employ tracker server for discovering content suppliers which poses scalability and bottleneck issues. Temporal-DHT is a structured P2P based approach which can efficiently accommodate the large number of update operations with the continuous change of user’s playing position and supporting asynchronous jumps (Bhattacharya, Yang, & Zhang, 2010). The authors propose different query adaptation strategies based upon content popularity distributions and shortage bandwidth ratios which are proved to be effective in improving the performance of P2P streaming system by deriving certain optimized solutions. They formulate valuable optimization problems in the context of a P2P-VoD system such as minimization of query search cost, server bandwidth consumption, and a joint cost-load framework. The authors provide optimized solutions that achieve the best result for the above mentioned optimization objectives. They show extensive simulation studies under various scenarios of search cost, streaming quality, and other associated factors in a dynamic network environment where users are free to asynchronously join/leave the system.

Date: 2012
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