Presentation 1995/11/27
Design of the Policing Mechanism for ATM Networks by Using Fuzzy Set Theory
Leonard BAROLLI, Kuninobu TANNO,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) The asynchronous transfer mode (ATM) technique has been accepted as a basis for the future B-ISDN networks. In ATM networks, all information is packetized and transferred in small packets of fixed length, called cells. The packetized information transfer, without flow control between the user and the network and the use of statistical multiplexing, results in a need of a policing mechanism to control the traffic parameters of each virtual connection in order to guarantee the required quality of service (QoS). The proposed parameters for monitoring the source traffic characteristics are the mean cell rate, the peak cell rate or the peak burst duration. Monitoring the mean cell rate is intended to improve the link utilization when it has to handle busty traffic sources. In this paper we propose a new policing mechanism called fuzzy policing mechanism (FPM), by applying fuzzy set theory, to police the mean cell rate of the sources in ATM networks. The performance evaluation via simulation shows that the dynamic behavior of the FPM is better than the leaky bucket mechanism and the window mechanisms.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) ATM networks / fuzzy theory / policing mechanism / dynamic behavior
Paper # IN95-71
Date of Issue

Conference Information
Committee IN
Conference Date 1995/11/27(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Information Networks (IN)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Design of the Policing Mechanism for ATM Networks by Using Fuzzy Set Theory
Sub Title (in English)
Keyword(1) ATM networks
Keyword(2) fuzzy theory
Keyword(3) policing mechanism
Keyword(4) dynamic behavior
1st Author's Name Leonard BAROLLI
1st Author's Affiliation Department of Electrical and Information Engineering, Yamagata University()
2nd Author's Name Kuninobu TANNO
2nd Author's Affiliation Department of Electrical and Information Engineering, Yamagata University
Date 1995/11/27
Paper # IN95-71
Volume (vol) vol.95
Number (no) 391
Page pp.pp.-
#Pages 6
Date of Issue