More than 70% of the bandwidth used on the Internet is used by peer-to-peer (p2p) file sharing apps, which are growing in popularity. A typical file download, according to measurement studies, might take anything from a few minutes to several hours, depending on the network congestion or service capacity fluctuations. The spatial variability of service capabilities in several source peers and the temporal variation in a single source peer's service capacity are the two main aspects that are taken into consideration in this article and have a substantial influence on average download time. We draw attention to the fundamental problem in the conventional method of calculating the average download time based on average service capacity.We formally establish that regional heterogeneity and temporal correlations in service capacity both raise the average download time in P2P networks. We next examine a straightforward, distribute approach to successfully take these drawbacks out and reduce the average download time. By research and simulations, we demonstrate that it performs better than the majority of other algorithms now in use in practice across a range of network topologies.

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