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A self-similar super-peer overlay construction scheme for super large-scale P2P applications

Author

Listed:
  • Hung-Yi Teng

    (National Chung Cheng University)

  • Chien-Nan Lin

    (National Chung Cheng University)

  • Ren-Hung Hwang

    (National Chung Cheng University)

Abstract

Unstructured peer-to-peer (P2P) overlay networks with two-layer hierarchy, comprising an upper layer of super-peers and an underlying layer of ordinary peers, are used to improve the performance of large-scale P2P applications like content distribution and storage. In order to deal with continuous growth of participating peers, a scalable and efficient super-peer overlay topology is essential. However, there is relatively little research conducted on constructing such super-peer overlay topology. In the existed solutions, the number of connections required to be maintained by a super-peer is in direct proportion to the total number of super-peers. For super large-scale P2P applications, i.e. the number of participating peer is over 1,000,000, these solutions are not scalable and impractical. Therefore, in this paper, we propose a scalable hierarchical unstructured P2P system in which a self-similar square network graph (SSNG) is proposed to construct and maintain the super-peer overlay topology adaptively. The SSNG topology is a constant-degree topology in which each node maintains a constant number of neighbor nodes. Moreover, a simple and efficient message forwarding algorithm is presented to ensure each super-peer to receive just one flooding message. The analytical results showed that the proposed SSNG-based overlay is more scalable and efficient than the perfect difference graph (PDG)-based overlay proposed in the literature.

Suggested Citation

  • Hung-Yi Teng & Chien-Nan Lin & Ren-Hung Hwang, 2014. "A self-similar super-peer overlay construction scheme for super large-scale P2P applications," Information Systems Frontiers, Springer, vol. 16(1), pages 45-58, March.
    • Handle: RePEc:spr:infosf:v:16:y:2014:i:1:d:10.1007_s10796-013-9456-3
    DOI: 10.1007/s10796-013-9456-3
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    Citations

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    Cited by:

    1. Mohammed Hawa & Raed Al-Zubi & Khalid A. Darabkh & Ghazi Al-Sukkar, 2017. "Adaptive approach to restraining content pollution in peer-to-peer networks," Information Systems Frontiers, Springer, vol. 19(6), pages 1373-1390, December.
    2. Ching-Hsien Hsu & Jianhua Ma & Mohammad S. Obaidat, 2014. "Dynamic intelligence towards merging cloud and communication services," Information Systems Frontiers, Springer, vol. 16(1), pages 1-5, March.
    3. Mohammed Hawa & Raed Al-Zubi & Khalid A. Darabkh & Ghazi Al-Sukkar, 0. "Adaptive approach to restraining content pollution in peer-to-peer networks," Information Systems Frontiers, Springer, vol. 0, pages 1-18.
    4. Jun Li & Cuilian Li & Zhaoxi Fang & Haoyun Wang & Yaohui Wu, 2016. "Optimal layer division for low latency in DHT‐based hierarchical P2P network," International Journal of Network Management, John Wiley & Sons, vol. 26(2), pages 95-110, March.

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