A Self-organized Mechanism of Resource Allocation in P2P Systems

DOI

10.1080/18756891.2012.747669How to use a DOI?

Keywords

distributed decision making, Pareto efficiency, fairness, particle swarm optimization, rational peers

Abstract

Since the performance of a system of interacting peers depends strongly on their individual contributions, the ratio between their provided and consumed resources should be set in line with the social welfare improvement, without relying on a central coordinator. In this paper, we devise a self-organized mechanism for cooperation policy setting of the interacting peers based on decision-theoretic analysis. By extensive simulation experiments, we demonstrate that when the proposed mechanism is followed, a Pareto optimal equilibrium emerges in the system from fairly coordinated decisions of the rational peers on their cooperation policies.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Golnaz Vakili
AU  - Siavash Khorsandi
AU  - ThanasisG. Papaioannou
PY  - 2012
DA  - 2012/11/01
TI  - A Self-organized Mechanism of Resource Allocation in P2P Systems
JO  - International Journal of Computational Intelligence Systems
SP  - 1148
EP  - 1159
VL  - 5
IS  - 6
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2012.747669
DO  - 10.1080/18756891.2012.747669
ID  - Vakili2012
ER  -