Replication with Incentives in Centralized Peer to Peer Networks
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Abstract
We are living in a digital age in which data production has become so ubiquitous that the demand for sharing will increase as more aspects of life become digital. There are several ways we share data: via websites and special networks like peer to peer. Although peer to peer networks such as Bit Torrent allow users to upload and download files but do not work well when user is offline. In this paper, I propose a file replication technique with incentives in a centralized peer to peer network to automatically replicate most downloaded files to other peers on the network. The peer selection algorithm looks at the peer’s reputation which is basically an indication of high availability. To gain a high reputation a peer must allocate a part of its resources to the network; thus in return the peer gets to download the file from many peers simultaneously.