Understanding the session durability in peer-to-peer storage system

  • Authors:
  • Jing Tian;Yafei Dai;Hao Wang;Mao Yang

  • Affiliations:
  • Department of Computer Science, Peking University, Beijing, China;Department of Computer Science, Peking University, Beijing, China;Department of Computer Science, Peking University, Beijing, China;Department of Computer Science, Peking University, Beijing, China

  • Venue:
  • ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
  • Year:
  • 2006

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Abstract

This paper emphasizes that instead of long-term availability and reliability, the short-term session durability analysis will greatly impact the design of the real large-scale Peer-to-Peer storage system. In this paper, we use a Markov chain to model the session durability, and then derive the session durability probability distribution. Subsequently, we show the difference between our analysis and the traditionalMean Time to Failure (MTTF) analysis, from which we conclude that the misuse of MTTF analysis will greatly mislead our understanding of the session durability. We further show the impact of session durability analysis on the real system design. To our best knowledge, this is the first time ever to discuss the effects of session durability in large-scale Peer-to-Peer storage system.