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    Unstructured peer-to-peer networks: topological properties and search performance

    Fletcher, George H. L. and Sheth, H.A. and Borner, K. (2004) Unstructured peer-to-peer networks: topological properties and search performance. In: Moro, G. and Bergamaschi, S. and Aberer, K. (eds.) Agents and Peer-to-Peer Computing, Third International Workshop: AP2PC 2004. Lecture Notes in Computer Science 3601. Springer, pp. 14-27. ISBN 9783540297550.

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    Abstract

    Performing efficient decentralized search is a fundamental problem in Peer-to-Peer (P2P) systems. There has been a significant amount of research recently on developing robust self-organizing P2P topologies that support efficient search. In this paper we discuss four structured and unstructured P2P models (CAN, Chord, PRU, and Hypergrid) and three characteristic search algorithms (BFS, k-Random Walk, and GAPS) for unstructured networks. We report on the results of simulations of these networks and provide measurements of search performance, focusing on search in unstructured networks. We find that the proposed models produce small-world networks, and yet none exhibit power-law degree distributions. Our simulations also suggest that random graphs support decentralized search more effectively than the proposed unstructured P2P models. We also find that on these topologies, the basic breadth-first search algorithm and its simple variants have the lowest search cost.

    Metadata

    Item Type: Book Section
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 30 Mar 2021 08:33
    Last Modified: 30 Mar 2021 08:33
    URI: https://eprints.bbk.ac.uk/id/eprint/43735

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