A Market-Based Approach of Efficient Resource Allocation Mechanisms in Collaborative Peer-to-Peer Systems

Peer-to-peer (P2P) systems enable the selection, sharing and aggregation of geographically distributed heterogeneous resources for solving large-scale problems in engineering or science. The management of resources and trading of services in such open and decentralized systems is still a complex undertaking. We propose an interdisciplinary approach to address the resource allocation problem in P2P systems, thus combining existing theories on market mechanisms from Microeconomics, Game Theory concepts and computational techniques from the domain of Artificial Intelligence. We build the formalization of the resource allocation problem and show which of the market mechanisms from Microeconomics suit best to our setup.