Randomized Protocols for Duplicate Elimination in Peer-to-Peer Storage Systems
IEEE Transactions on Parallel and Distributed Systems
Bubblestorm: resilient, probabilistic, and exhaustive peer-to-peer search
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HRS: A Hybrid Replication Strategy for Exhaustive P2P Search
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WAIM'10 Proceedings of the 11th international conference on Web-age information management
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Proactive replication for rare objects in unstructured peer-to-peer networks
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Enhancing Routing Robustness of Unstructured Peer-to-Peer Networks Using Mobile Agents
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A mobile agent-based routing model for grid computing
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Future Generation Computer Systems
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Search is a fundamental service in peer-to-peer (P2P) networks. However, despite numerous research efforts,efficient algorithms for guaranteed location of shared content in unstructured P2P networks are yet to be devised. In this paper, we present a simple but highly effective protocol for object location that gives probabilistic guarantees of finding even rare objects independently of the network topology. The protocol relies on randomized techniques for replication of objects (or their references) and for query propagation. We prove analytically, and demonstrate experimentally, that our scheme provides high probabilistic guarantees of success, while incurring minimal overhead. We quantify the performance of our scheme in terms of network messages, probability of success, and response time. We also evaluate the robustness of our protocol in the presence of node failures (departures). Using simulation, we show that our scheme performs no worse than the best known access-frequency based protocols, without compromising access to rare objects.