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A mechanism for resource pricing and fairness in peer-to-peer networks

Author

Listed:
  • Shiyong Li

    (Yanshan University)

  • Wei Sun

    (Yanshan University)

Abstract

In peer-to-peer (P2P) networks, each peer acts as the role of client and server. As a client, each peer is regarded as a service customer. It sends requests to other peers to download files and obtains resource allocation from them. As a server, each peer is thought as a service provider. It receives service requests from other peers and allocates its resources to them. To encourage cooperation between peers, fairness is very important in P2P networks since it fosters an incentive to the peers to offer resources to the network. We formulate a fair resource allocation model for P2P networks and investigate the utility optimization problem by Lagrangian method. In order to realize the optimal resource allocation, we present a novel price-based resource allocation scheme by applying the first order Lagrangian method and low-pass filtering scheme, so that a service provider can allocate its resources to its customers based on offered prices, achieving the efficient and fair allocation of the available resources to the serviced customers. Simulation results confirm that the proposed algorithm can achieve the optimum within reasonable convergence times.

Suggested Citation

  • Shiyong Li & Wei Sun, 2016. "A mechanism for resource pricing and fairness in peer-to-peer networks," Electronic Commerce Research, Springer, vol. 16(4), pages 425-451, December.
    • Handle: RePEc:spr:elcore:v:16:y:2016:i:4:d:10.1007_s10660-016-9211-1
    DOI: 10.1007/s10660-016-9211-1
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    References listed on IDEAS

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    1. Editors, 2014. "International Journal of Systems Science," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(12), pages 1-1, December.
    2. Shiyong Li & Wei Sun & Changchun Hua, 2014. "Fair resource allocation and stability for communication networks with multipath routing," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(11), pages 2342-2353, November.
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    Cited by:

    1. Shiyong Li & Yue Zhang & Wei Sun, 2019. "Optimal Resource Allocation Model and Algorithm for Elastic Enterprise Applications Migration to the Cloud," Mathematics, MDPI, vol. 7(10), pages 1-20, October.
    2. Satish Kumar & Weng Marc Lim & Nitesh Pandey & J. Christopher Westland, 2021. "20 years of Electronic Commerce Research," Electronic Commerce Research, Springer, vol. 21(1), pages 1-40, March.
    3. Shiyong Li & Wei Sun & Huan Liu, 2022. "Optimal resource allocation for multiclass services in peer-to-peer networks via successive approximation," Operational Research, Springer, vol. 22(3), pages 2605-2630, July.

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