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Handbook of Peer-to-Peer Networking pp 167–187Cite as

Peer-to-Peer Topology Formation Using Random Walk

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Abstract

Peer-to-Peer (P2P) systems such as live video streaming and content sharing are usually composed of a huge number of users with heterogeneous capacities. As a result, designing a distributed algorithm to form such a giant-scale topology in a heterogeneous environment is a challenging question because, on the one hand, the algorithm should exploit the heterogeneity of users’ capacities to achieve load-balancing and, on the other hand, the overhead of the algorithm should be kept as low as possible. To meet such requirements, we introduce a very simple protocol for building heterogeneous unstructured P2P networks. The basic idea behind our protocol is to exploit a simple, distributed nature of random walk sampling to assist the peers in selecting their suitable neighbors in terms of capacity and connectivity to achieve load-balancing. To gain more insights into our proposed protocol, we also develop a detailed analysis to investigate our protocol under any heterogeneous P2P environment. The analytical results are validated by the simulations. The ultimate goal of this chapter is to stimulate further research to explore the fundamental issues in heterogeneous P2P networks.

This chapter is based on the publications in [22, 23]. This work was supported by the RGC grant 620306.

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Author information

Authors and Affiliations

  1. Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA

    Kin-Wah Kwong

  2. Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong, China

    Danny H.K. Tsang

Authors
  1. Kin-Wah Kwong
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  2. Danny H.K. Tsang
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Corresponding author

Correspondence to Kin-Wah Kwong .

Editor information

Editors and Affiliations

  1. Dept. Electrical & Computer Engineering, University of Waterloo, University Avenue W. 200, Waterloo, N2L 3G1, Canada

    Xuemin Shen

  2. Huawei Technologies, Somerset Corporate Blvd. 400, Bridgewater, 08807, U.S.A.

    Heather Yu

  3. Avaya Labs Research, Mount Airy Road 233, Basking Ridge, 07920, U.S.A.

    John Buford

  4. Dept. Electrical & Computer Engineering, University of Waterloo, University Avenue W. 200, Waterloo, N2L 3G1, Canada

    Mursalin Akon

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Kwong, KW., Tsang, D.H. (2010). Peer-to-Peer Topology Formation Using Random Walk. In: Shen, X., Yu, H., Buford, J., Akon, M. (eds) Handbook of Peer-to-Peer Networking. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-09751-0_7

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  • DOI: https://doi.org/10.1007/978-0-387-09751-0_7

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  • Online ISBN: 978-0-387-09751-0

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