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Abstract
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Article Information:
A Free-Rider Forecasting Model Based on Gray System Theory in P2P Networks
He Xu, Zhao-xiong Zhou, Suo-ping Wang and Ru-chuan Wang
Corresponding Author: He Xu
Submitted: May 01, 2012
Accepted: June 01, 2012
Published: November 01, 2012 |
Abstract:
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The aim of this study is to forecast the number of free-riders in P2P networks which can help
network managers to know the status of the networks in advance and take appropriate measures to cope
with free-riding behavior. Free-riding behavior is common in P2P networks, which has a negative impact
on the robustness, availability and stability of the networks. Severe free-riding behavior may lead to the
crash of the whole P2P application system. Based on the research of free-riding behavior in P2P networks,
this paper constructs a free-rider forecasting model (GST model) using Gray System Theory. Simulation
experiments show that this model has high feasibility, and can carry out reasonable predictions on the
number of free-riders in P2P networks.
Key words: Free-riding , gray system theory, p2p networks, , , ,
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Cite this Reference:
He Xu, Zhao-xiong Zhou, Suo-ping Wang and Ru-chuan Wang, . A Free-Rider Forecasting Model Based on Gray System Theory in P2P Networks. Research Journal of Applied Sciences, Engineering and Technology, (21): 4423-4428.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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