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We introduce a decentralized replication strategy for peer-to-peer fileexchange based on exhaustive exploration of the neighborhood of any node in thenetwork. The replication scheme lets the replicas evenly populate the networkmesh, while regulating the total number of replicas at the same time. This isachieved by self adaptation to entering or leaving of nodes. Exhaustiveexploration is achieved by a spiral walk algorithm that generates a number ofmessages linearly proportional to the number of visited nodes. It requires adedicated topology (a triangular mesh on a closed surface). We introduceprotocols for node connection and departure that maintain the triangular meshat low computational and bandwidth cost. Search efficiency is increased using amechanism based on dynamically allocated super peers. We conclude with adiscussion on experimental validation results.

Spiral Walk on Triangular Meshes : Adaptive Replication in Data P2P Networks