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On the Performance of Content Delivery under Competition in a Stochastic Unstructured Peer-to-Peer N

Platform : Parallel & Distributed

IEEE Projects Years : 2010

In this paper, we investigate the impact of the interaction and competition among peers on downloading performance under stochastic, heterogeneous, unstructured P2P settings, thereby greatly extending the existing results on stochastic P2P networks made only under a single downloading peer in the network. To analyze the average download time in a P2P network with multiple competing downloading peers, we first introduce the notion of system utilization tailored to a P2P network. We investigate the relationship between the average download time, system utilization and the level of competition among downloading peers in a stochastic P2P network. We then derive an achievable lower bound on the average download time and propose algorithms to give the peers the minimum average download time. Our result can much improve the download performance compared to earlier results in the literature. Our results also provide theoretical explanation to the inconsistency of performance improvement by using parallel connections (parallel connections sometimes do not outperform a single connection) observed in some measurement studies.

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