DocumentCode :
3357506
Title :
A fuzzy logic approach to congestion control in ATM networks
Author :
Douligeris, Christos ; Develekos, George
Author_Institution :
Dept. of Electr. & Comput. Eng., Miami Univ., FL, USA
Volume :
3
fYear :
1995
fDate :
18-22 Jun 1995
Firstpage :
1969
Abstract :
The principles of fuzzy logic are deployed to tackle the problem of congestion control, an issue that is of prime importance in a multiservice environment like B-ISDN. Using the leaky bucket and moving window mechanisms as building blocks, we develop a fuzzy rule-based system that is transparent to sources that, are compliant to the traffic contract, effective in shutting down noncompliant sources and quick to respond to mean and peak rate violations, as well as to peak rate violations that do not affect the mean rate, compared to the mechanisms previously proposed. The system is intuitive in concept, simple in its implementation and computationally efficient according to the restrictions imposed by the high-speed network environment it operates in
Keywords :
B-ISDN; asynchronous transfer mode; fuzzy logic; knowledge based systems; switching networks; telecommunication computing; telecommunication congestion control; telecommunication traffic; ATM networks; B-ISDN; congestion control; fuzzy logic approach; fuzzy rule-based system; high-speed network environment; leaky bucket; mean rate violations; moving window; multiservice environment; peak rate violations; traffic contract; Asynchronous transfer mode; B-ISDN; Communication system traffic control; Contracts; Fuzzy logic; Fuzzy systems; Intelligent networks; Knowledge based systems; Telecommunication traffic; Windows;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 1995. ICC '95 Seattle, 'Gateway to Globalization', 1995 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2486-2
Type :
conf
DOI :
10.1109/ICC.1995.524539
Filename :
524539
Link To Document :
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