A scheme of resource allocation and stability for peer-to-peer file-sharing networks

Shiyong Li; Wei Sun; Cheng-Guo E; Lina Shi

International Journal of Applied Mathematics and Computer Science (2016)

  • Volume: 26, Issue: 3, page 707-719
  • ISSN: 1641-876X

Abstract

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Peer-to-peer (P2P) networks offer a cost-effective and easily deployable framework for sharing content. However, P2P file-sharing applications face a fundamental problem of unfairness. Pricing is regarded as an effective way to provide incentives to peers to cooperate. In this paper we propose a pricing scheme to achieve reasonable resource allocation in P2P file-sharing networks, and give an interpretation for the utility maximization problem and its sub-problems from an economic point of view. We also deduce the exact expression of optimal resource allocation for each peer, and confirm it with both simulation and optimization software. In order to realize the optimum in a decentralized architecture, we present a novel price-based algorithm and discuss its stability based on Lyapunov stability theory. Simulation results confirm that the proposed algorithm can attain an optimum within reasonable convergence times.

How to cite

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Shiyong Li, et al. "A scheme of resource allocation and stability for peer-to-peer file-sharing networks." International Journal of Applied Mathematics and Computer Science 26.3 (2016): 707-719. <http://eudml.org/doc/286723>.

@article{ShiyongLi2016,
abstract = {Peer-to-peer (P2P) networks offer a cost-effective and easily deployable framework for sharing content. However, P2P file-sharing applications face a fundamental problem of unfairness. Pricing is regarded as an effective way to provide incentives to peers to cooperate. In this paper we propose a pricing scheme to achieve reasonable resource allocation in P2P file-sharing networks, and give an interpretation for the utility maximization problem and its sub-problems from an economic point of view. We also deduce the exact expression of optimal resource allocation for each peer, and confirm it with both simulation and optimization software. In order to realize the optimum in a decentralized architecture, we present a novel price-based algorithm and discuss its stability based on Lyapunov stability theory. Simulation results confirm that the proposed algorithm can attain an optimum within reasonable convergence times.},
author = {Shiyong Li, Wei Sun, Cheng-Guo E, Lina Shi},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {peer-to-peer networks; fairness; pricing; stability; utility maximization},
language = {eng},
number = {3},
pages = {707-719},
title = {A scheme of resource allocation and stability for peer-to-peer file-sharing networks},
url = {http://eudml.org/doc/286723},
volume = {26},
year = {2016},
}

TY - JOUR
AU - Shiyong Li
AU - Wei Sun
AU - Cheng-Guo E
AU - Lina Shi
TI - A scheme of resource allocation and stability for peer-to-peer file-sharing networks
JO - International Journal of Applied Mathematics and Computer Science
PY - 2016
VL - 26
IS - 3
SP - 707
EP - 719
AB - Peer-to-peer (P2P) networks offer a cost-effective and easily deployable framework for sharing content. However, P2P file-sharing applications face a fundamental problem of unfairness. Pricing is regarded as an effective way to provide incentives to peers to cooperate. In this paper we propose a pricing scheme to achieve reasonable resource allocation in P2P file-sharing networks, and give an interpretation for the utility maximization problem and its sub-problems from an economic point of view. We also deduce the exact expression of optimal resource allocation for each peer, and confirm it with both simulation and optimization software. In order to realize the optimum in a decentralized architecture, we present a novel price-based algorithm and discuss its stability based on Lyapunov stability theory. Simulation results confirm that the proposed algorithm can attain an optimum within reasonable convergence times.
LA - eng
KW - peer-to-peer networks; fairness; pricing; stability; utility maximization
UR - http://eudml.org/doc/286723
ER -

References

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