A Markov model of a freerider in a BitTorrent P2P network
Mario Barbera, Alfio Lombardo, Giovanni Schembra, Mirco Tribastone
Abstract
Mario Barbera, Alfio Lombardo, Giovanni Schembra, Mirco Tribastone
Abstract
BitTorrent is today one of the largest P2P systems which allows file sharing for Internet users. Very little effort has been dedicated to this target up to now. The goal of this paper is to develop an analytical model of a free-rider in a BitTorrent network. Unlike previous analytical models which capture the behavior of the network as a whole, the proposed model is able to analyze the performance from the user perspective. The model is applied to a case study to evaluate performance in a real case, and to obtain some insights into the influence of BitTorrent parameters on system performance.
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BitTorrent is today one of the largest P2P systems which allows file sharing for Internet users. Very little effort has been dedicated to this target up to now. The goal of this paper is to develop an analytical model of a free-rider in a BitTorrent network. Unlike previous analytical models which capture the behavior of the network as a whole, the proposed model is able to analyze the performance from the user perspective. The model is applied to a case study to evaluate performance in a real case, and to obtain some insights into the influence of BitTorrent parameters on system performance.
Key concepts: BitTorrent, Computer science, The Internet, File sharing, Markov chain, Perspective (graphical), Markov process, Computer network