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Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/6562
Title: Optimizing substream scheduling for peer-to-peer live streaming
Authors: Chan, Kam-Hung
Chan, Shueng-Han Gary
Begen, A. C.
Keywords: Optimizing substream scheduling
Packet scheduling
Packet delay minimization
Peer-to-peer live streaming
Substream assignment problem
Issue Date: Jan-2010
Citation: Proceedings 7th IEEE Consumer Communications and Networking Conference (CCNC), 9-12 January 2010, Las Vegas, NV, USA.
Abstract: In peer-to-peer (P2P) live streaming using unstructured mesh, packet scheduling is an important factor on overall playback delay. The hybrid pull-push approach has been recently proposed to reduce delay compared to classical pulling method. In this approach, video are divided into substreams and packets are pushed with low delay. There has been little work addressing the scheduling problem on substream assignment. In this paper, we study the scheduling problem on assigning substreams to minimize packet delay. Given heterogeneous contents, delays and bandwidths of parents, we formulate the Substream Assignment (SA) problem to assign substreams to parents with minimum delay. The SA problem can be optimally solved in polynomial time by transforming it into a Max-Weighted Bipartite Matching problem. Simulation results show that our distributed algorithm achieves substantially lower delay as compared with traditional pull and current hybrid pull-push approaches based on greedy algorithm.
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URI: http://hdl.handle.net/1783.1/6562
Appears in Collections:CSE Conference Papers

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