Towards Low Delay Sub-Stream Scheduling

Authors

  • Wu Guofu National University of Defense Technology School of Computer Science Changsha, Hunan, P.R.China
  • Dou Qiang Wu Jiqing, Ban Dongsong,Wenhua Dou National University of Defense Technology School of Computer Science Changsha, Hunan, P.R.China
  • Wu Jiqing National University of Defense Technology School of Computer Science Changsha, Hunan, P.R.China
  • Ban Dongsong National University of Defense Technology School of Computer Science Changsha, Hunan, P.R.China
  • Wenhua Dou National University of Defense Technology School of Computer Science Changsha, Hunan, P.R.China

Keywords:

P2P streaming, scheduling, sub-stream, weighted bipartite graph, matching

Abstract

Peer-to-Peer streaming is an effectual and promising way to distribute media content. In a mesh-based system, pull method is the conventional scheduling way. But pull method often suffers from long transmission delay. In this paper, we present a novel sub-stream-oriented low delay scheduling strategy under the push-pull hybrid framework. First the sub-stream scheduling problem is transformed into the matching problem of the weighted bipartite graph. Then we present a minimum delay, maximum matching algorithm. Not only the maximum matching is maintained, but also the transmission delay of each sub-stream is as low as possible. Simulation result shows that our method can greatly reduce the transmission delay.

References

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Published

2010-12-01

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