Search and replication in unstructured peer-to-peer networks
ICS '02 Proceedings of the 16th international conference on Supercomputing
A local search mechanism for peer-to-peer networks
Proceedings of the eleventh international conference on Information and knowledge management
Information Retrieval Techniques for Peer-to-Peer Networks
Computing in Science and Engineering
On the Performance of Flooding-Based Resource Discovery
IEEE Transactions on Parallel and Distributed Systems
pFusion: A P2P Architecture for Internet-Scale Content-Based Search and Retrieval
IEEE Transactions on Parallel and Distributed Systems
DCMP: A Distributed Cycle Minimization Protocol for Peer-to-Peer Networks
IEEE Transactions on Parallel and Distributed Systems
LightFlood: Minimizing Redundant Messages and Maximizing Scope of Peer-to-Peer Search
IEEE Transactions on Parallel and Distributed Systems
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Flooding search has no knowledge about network topology and files distribution, thus it offers an attractive method for file discovery in dynamic and evolving networks. Although flooding can achieve high coverage but it produces exponentially redundant messages in each hop. To improve this searching scheme and reduce redundant messages, there are many flooding-based search algorithms in literature. This paper provided analytical study for flooding and flooding-based algorithms. The analytical results provided the best hop threshold point for the optimum growth rate coverage and redundant messages from flooding and flooding-based algorithms. The simulation experiments validated analytical results.