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2012 (Vol. 4, Issue: 21)
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 

Key words:  Free-riding , gray system theory, p2p networks, , , ,
Vol. 4 , (21): 4423-4428
Submitted Accepted Published
May 01, 2012 June 01, 2012 November 01, 2012
Abstract:

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.
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  Cite this Reference:
He Xu, Zhao-xiong Zhou, Suo-ping Wang and Ru-chuan Wang, 2012. A Free-Rider Forecasting Model Based on Gray System Theory in P2P Networks.  Research Journal of Applied Sciences, Engineering and Technology, 4(21): 4423-4428.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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