In this paper, we investigate the impact of the interaction and competition among peers on downloading performance beneath stochastic, heterogeneous, unstructured P2P settings, thereby greatly extending the existing results on stochastic P2P networks created only below one downloading peer in the network. To analyze the common download time during a P2P network with multiple competing downloading peers, we initial introduce the notion of system utilization tailored to a P2P network. We have a tendency to investigate the relationship between the common download time, system utilization and the extent of competition among downloading peers in a stochastic P2P network. We tend to then derive an achievable lower sure on the typical 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 ends up in the literature. Our results additionally provide theoretical explanation to the inconsistency of performance improvement by using parallel connections (parallel connections generally don't outperform a single affiliation) observed in some measurement studies.

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