A Class Based Piece Selection for Multi-Dimensional Aggregated Data Distribution in Peer to Peer Network
A Peer-to-Peer (P2P) is a distributed application architecture, where each computer (node) in the net acts as a client/ server for the other nodes in the network. It allows sharing right to different sources and partitions tasks or workloads among peers. All the peers are equally privileged participants in the application. The searching performance, query expressivity, multi-dimensional distributed indexing are the emerging aspects of P2P. Its popularity is due to its scalability and distribution of large files efficiently without undue pressure on the origin server. In this paper, it is proposed to investigate the performance of P2P networking when used to store multidimensional compressed aggregated data which can be used to download required data based on the query rather than downloading the entire database.