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BCOM: Best Constraints for Overlay network Maintainance

In a overlay network for routing or peer-to-peer file sharing, each node must select a fixed number of overlay neighbors for routing traffic. A selfish node entering such network would select adjacent nodes so as to reduce the weighted sum of expected access costs to all its destinations. Previous work on selfish neighbour selection has built intuition with simple models where edges are undirected, access costs are modeled by hopcounts, and nodes have potentially unbounded degrees. However , in practice, important constraints not captured by these models lead to richer games with substantively and fundamentally different outcomes. To improve we impose no bounds on peer degrees so that creation of overlay structures that require O(n) instead of O(n) link monitoring overhead. in that regard, the central aspects of our model are bounded degree, directed edges, on-uniform preference vectors, and representative distance functions. Our first technical contribution within this model is to express a node’s “best response” wiring strategy as a k-median problem on asymmetric distance, and use this observation to obtain pure Nash equilibria through iterative best response walks via local search we design, implement, and deploy EGOIST, a prototype overlay routing network built around best response wiring strategies. EGOIST serves as a building block for the construction of efficient and scalable overlay applications consisting of (potentially) selfish nodes. we demonstrate that the performance of EGOIST approaches that of a (theoretically-optimal) full-mesh topology, while achieving superior scalability, requiring link announcements proportional to nk compared to n for a full mesh topology. Our experimental results show that EGOIST remains highly effective under significant churn and incurs minimal overhead.