On minimizing average end-to-end delay in P2P live streaming systems

  • Authors:
  • Fei Huang;Maleq Khan;Binoy Ravindran

  • Affiliations:
  • Dept. of Electrical & Computer Engineering, Virginia Tech, Blacksburg, VA;Network Dynamics and Simulation Science Laboratory, Virginia Tech, Blacksburg, VA;Dept. of Electrical & Computer Engineering, Virginia Tech, Blacksburg, VA

  • Venue:
  • OPODIS'10 Proceedings of the 14th international conference on Principles of distributed systems
  • Year:
  • 2010

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Abstract

In this paper, we devise a streaming scheme, called iStream, to achieve the minimum average end-to-end P2P streaming delay by optimally allocating the bandwidth resource among peers. We first develop a generic analytical framework to model the minimum average delay P2P streaming problem, called the MADPS problem. We then present iStream to solve the MADPS problem. The core part of iStream is a fast approximation algorithm, called iStream-APX, based on primal-dual schema. We prove that the performance of iStream-APX is bounded by a ratio of 1 + Ω, where Ω is an adjustable input parameter. Furthermore, we show that the flexibility of Ω provides a trade-off between the approximation factor and the running time of iStream.