Modeling and dynamics analysis of P2P networks based on evolutionary games Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/g732dd51k

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  • Since free riders in P2P network reduce the system's performance, how to maintain and encourage the nodes' cooperation is an important aspect of P2P related research. In this thesis, a P2P system is modeled based on two games: stag hunt game and snowdrift game. To relate the model to the real situation in P2P network, heterogeneous environment (e.g., different service capacity) for each node is considered. These P2P models reveal under which conditions nodes are cooperative, so they show how to maintain and improve the level of cooperation. Evolutionary game theory is employed to analyze the dynamic evolutionary process of the mechanism. Replicator dynamics is used to show what condition can increase the level of nodes' cooperation, theoretically and mathematically, and numerical results also are shown by simulation. These results suggest guidelines to design an efficient and fair P2P system.
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