Consistency-preserving neighbor table optimization for P2P networks

Constructing and maintaining consistent neighbor tables and optimizing neighbor tables to improve routing locality are two important issues in p2p networks. In this paper, we address the problem of preserving consistency while optimizing neighbor tables for p2p networks with node dynamics. We present a general strategy: identify a consistent subnet as large as possible and only replace a neighbor with a closer one if both of them belong to the subnet. We realize the general strategy in the context of hypercube routing. First, we present a join protocol that enables the identification of a large consistent subnet with very low cost when new nodes join. Next, we define an optimization rule to constrain neighbor replacements to preserve consistency, and present a set of optimization heuristics to optimize neighbor tables with low cost. The join protocol is then integrated with a failure recovery protocol. By evaluating the protocols through simulation experiments, we found our protocols and optimization heuristics to be effective, efficient, and scalable to a large number of network nodes.