Search and replication in unstructured peer-to-peer networks
SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Sonic Boom: Napster, MP3 and the New Pioneers of Music
Sonic Boom: Napster, MP3 and the New Pioneers of Music
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
A survey on resource discovery mechanisms, peer-to-peer and service discovery frameworks
Computer Networks: The International Journal of Computer and Telecommunications Networking
LightFlood: Minimizing Redundant Messages and Maximizing Scope of Peer-to-Peer Search
IEEE Transactions on Parallel and Distributed Systems
Dynamic Search Algorithm in Unstructured Peer-to-Peer Networks
IEEE Transactions on Parallel and Distributed Systems
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Searching in peer-to-peer is started by flooding technique. This technique produces huge redundant messages in each hop. These Redundant messages limit system scalability and cause unnecessary traffic in a network. To improve this searching technique and reduce redundant messages, this paper proposes a novel algorithm called HybridFlood. In HybridFlood algorithm, flooding scheme divided into two phases. At the first phase the algorithm follows flooding by limited number of hops. In the second phase, it chooses nosey nodes in each searching horizon. The nosey nodes are nodes, which have the most links to others. These nodes maintain the data index of all clients. The proposed algorithm extends the search efficiency by reducing redundant messages in each hop. Simulation results show that the proposed algorithm decreases 60% of redundant messages and saves up to 70% of searching traffic.