ATM traffic management and congestion control using fuzzy logic

Abraham Kandel; Orly Manor; Yaron Klein; Sharon Fluss

doi:10.1109/5326.777081

ATM traffic management and congestion control using fuzzy logic

Abraham Kandel, Orly Manor, Yaron Klein, Sharon Fluss

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

This paper focuses on the use of fuzzy logic in network management, ATM congestion control, and ATM switching. The ATM network management ensures traffic agreement at the source level in order to prevent congestion situations from occurring. This paper reviews work in the area of traffic policing and introduces a scheme for improving the performance of a fuzzy policer. The ATM fuzzy switch introduced in this paper enhances the capabilities of the ATM switch, one of the most critical elements in the ATM network.

Original language	English
Pages (from-to)	474-480
Number of pages	7
Journal	IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
Volume	29
Issue number	3
DOIs	https://doi.org/10.1109/5326.777081
State	Published - 1999
Externally published	Yes

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10.1109/5326.777081

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ATM traffic management and congestion control using fuzzy logic

Abstract

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