[1] Zhang Xiaolin*, Zhang Sabing, Wu Jieyi,. A Fuzzy Flow Control Approach for ABR Servicein ATM Networks [J]. Journal of Southeast University (English Edition), 2002, 18 (1): 33-39. [doi:10.3969/j.issn.1003-7985.2002.01.007]

Copy

A Fuzzy Flow Control Approach for ABR Servicein ATM Networks()

Share：

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

18

Issue:

2002 1

Page:

33-39

Research Field:

Computer Science and Engineering

Publishing date:

2002-03-30

Info

Title:

A Fuzzy Flow Control Approach for ABR Servicein ATM Networks

Author(s):

Zhang Xiaolin^*;  Zhang Sabing;  Wu Jieyi

CIMS Center, Southeast University, Nanjing 210096, China

Keywords:

ATM network;  congestion prevent;  flow control;  fuzzy logic

PACS:

TP393

DOI:

10.3969/j.issn.1003-7985.2002.01.007

Abstract:

The explicit rate flow control mechanisms for ABR service are used to share the available bandwidth of a bottleneck link fairly and reasonably among many competitive users and to maintain the buffer queue length of a bottleneck switch connected to the link at a desired level in order to avoid and control congestion in ATM networks. However, designing effective flow control mechanisms for the service is known to be difficult because of the variety of dynamic parameters involved such as available link bandwidth, burst of the traffic, the distances between ABR sources and switches. In this paper, we present a fuzzy explicit rate flow control mechanism for ABR service. The mechanism has a simple structure and is robust in the sense that the mechanism’s stability is not sensitive to the change in the number of active virtual connections(VCs). Many simulations show that this mechanism can not only effectively avoid network congestion, but also ensure fair share of the bandwidth for all active VCs regardless of the number of hops they traverse. Additionally, it has the advantages of fast convergence, low oscillation, and high link bandwidth utilization.

References:

[1] ATM Forum. Traffic management specification version 4.1 [EB/OL].ftp://ftp.atmforum.com/pub/approved-specs/af-tm-0121.000.pdf. 1999-03.
[2] Kamolphiwong S, Karbowiak A E, Mehrpour H. Flow control in ATM networks: a survey[J]. Computer communication, 1998, 21:951-968.
[3] Makrucki B A. Explicit forward congest notification in ATM networks[A]. In:Proc.of TriComm’92[C]. New York, 1992.73.
[4] Bonomi F, Fendick K W. The rate-based flow control framework for the available bit rate ATM service[J]. IEEE Network, 1995, 9:25-39.
[5] Rohrs C E, Berry R A, O’Halek D. A control engineer’s look at ATM congest avoidance[J]. Computer communication, 1996, 19:226-234.
[6] Su C F, Veciana G D, Walrand J. Explicit Rate Flow Control for ABR Services in ATM Networks[J]. IEEE/ACM Transactions on networking, 2000, 8:350-361.
[7] Pitsillides A, Sekercioglu Y A, Ramamurthy G. Effective control of traffic flow in ATM networks using Fuzzy explicit rate marking(FERM)[J]. IEEE journal on selected aeras communications, 1997, 15(2):209-225.
[8] Mohamad Hossien, Mostafa S, Mohamad Bagher M. Intelligent usage parameter controller based on dynamic rate leaky bucket for ATM networks[J]. Computer Networks, 2000, 32(1):17-34.
[9] Nelson O L, Tham C K. Connection admission control of ATM network using integrated MLP and fuzzy controllers[J]. Computer Networks, 2000, 32(1): 61-79.
[10] Golmie N, Saintillan Y, Su D. ABR switch mechanisms: design issues and performance evaluation[J]. Computer networks and ISDN systems, 1998, 30:1749-1761.

Memo

Memo:

* Born in 1963, male, doctor.

Common functions