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Elders Know Best : Lifespan-Based Ideas in P 2 P Systems

The transiency of peer population and its implications on peer-to-peer (P2P) applications are increasingly calling the attention of the research community. As undesirable as unavoidable, peers transiency could negate many of the appealing features of the P2P approach. We are exploring new P2P protocols and strategies that, by considering peers’ lifespan a key attribute, can greatly boost the stability, efficiency and scalability of these systems. As part of our work, we performed a thorough study of peers’ lifespan in a current and widely deployed P2P network. Through active probing of over 500,000 peers, we found that peer lifespan distribution can be modeled by a Pareto distribution of the form λT k (k < 0) which, in this context, means that a peer’s expected remaining lifetime is directly proportional to its current age.