An Efficient Framework for Piece Selection Problem in P2P Content Distribution Network Using Fuzzy Programming Approach

A fuzzy programming approach is used in this article for solving the piece selection problem in P2P network with multiple objectives, in which some of the factors are fuzzy in nature. A piece selection problem has been prepared as a fuzzy mixed integer goal programming piece selection problem that includes three primary goals: minimizing the download cost and download time and maximizing speed and useful information transmission subject to realistic constraints regarding peer's demand, peer's capacity, peer's dynamicity, etc. The proposed approach has the ability to handle practical situations in a fuzzy environment and offers a better decision tool for the piece selection decision in a dynamic P2P network. An extensive simulation is carried out to demonstrate the effectiveness of the proposed model. The proposed mechanism has the capability to handle practical situations in a fuzzy environment and offers a better decision tool for the piece selection decision in a decentralized P2P network.