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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
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 
Submitted: May 01, 2012
Accepted: June 01, 2012
Published: 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.

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.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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