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| Fuzzy Congestion Control and Policing in ATM Networks
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Full
text: |
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Source |
International Journal of Engineering (IJE) |
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Table of Contents |
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Download
Complete Issue PDF(3.3MB) |
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Volume: 3 Issue: 1 |
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Pages: 1-84 |
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Publication
Date: February 2009 |
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ISSN
(Online): 1985-2312 |
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Pages |
65 - 84 |
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Author(s) |
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Published
Date |
15-03-2009 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: ATM, Fuzzy Logic, Leaky Bucket, Jump Window, Exponentially Weighted Moving Average |
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| In this paper, usage parameter control (UPC) is presented to ensure that each source conforms to its negotiated parameters in ATM networks. To meet the requirements for the policing function, a fuzzy logic-based system is proposed to deal with the congestion control and policing problem in ATM networks. There are four types of different mechanisms, Jump Window (JW), Exponentially Weighted Moving Average (EWMA), Leaky Bucket (LB) and modified Fuzzy Leaky Bucket (FLB) techniques to be identified, analyzed and simulated by the traffic parameters. The Fuzzy Leaky Bucket (FLB) modifies the token rate in accordance with the peak rate, mean rate and the burst time, which characterize the source behavior. Simulation results show that FLB system is transparent to the sources with the parameter values which are negotiated at the call setup and effective in detecting source violation with low response time. The performance of FLB is significantly better than other mechanisms, in terms of both dynamic behaviors of responsiveness and selectivity. |
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University of Wisconsin-Milwaukee
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docin
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pipl
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printfu
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Waatp
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| Ming-Chang Huang : Colleagues
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| Seyed Hossein Hosseini : Colleagues
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| K. Vairavan : Colleagues
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| Hui Lan : Colleagues
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