Insights on Media Streaming Progress using BitTorrent-like Protocols for On-Demand Streaming

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Mahanti, Anirban; Williamson, Carey; Parvez, Nadim; Carlsson, Niklas


2012-09-08


Journal Article


IEEE/ACM Transactions on Networking


20


3


1-14


This paper develops analytic models that characterize the behavior of on-demand stored media delivery using BitTorrent-like protocols. The models capture the effects of different piece selection policies, including Rarest-First, two variants of In-Order, and two probabilistic policies (Portion and Zipf). Our models provide insight into the system behavior, and help explain the sluggishness of the system with strict In-Order streaming. We use the models to compare different retrieval policies across a wide range of system parameters, including peer arrival rate, upload/download bandwidth, and seed residence time. We also provide quantitative results on startup delays and retrieval times for streaming media delivery. Our results provides insights into the design tradeoffs for on-demand media streaming in peer-to-peer networks. Finally, the models are validated using both fluid-based and packet-level simulations.


Data61; NICTA


https://doi.org/10.1109/TNET.2011.2166087


English


nicta:4193


Mahanti, Anirban; Williamson, Carey; Parvez, Nadim; Carlsson, Niklas. Insights on Media Streaming Progress using BitTorrent-like Protocols for On-Demand Streaming. IEEE/ACM Transactions on Networking. 2012-09-08; 20(3):1-14. <a href="https://doi.org/10.1109/TNET.2011.2166087" target="_blank">https://doi.org/10.1109/TNET.2011.2166087</a>



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