Mathematical modelling of adaptive wormhole routing in the presence of self-similar traffic

Geyong Min; M. Ould-Khaoua

doi:10.1109/ISPASS.2003.1190231

Mathematical modelling of adaptive wormhole routing in the presence of self-similar traffic

Geyong Min, M. Ould-Khaoua

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

The properties of self-similar traffic have strong effects on queueing performance. It has been suggested that many existing computer and communication systems need to be reevaluated in the presence of this new type of traffic. To this end, this paper proposes an analytical performance model for adaptive wormhole routing in torus interconnection networks under self-similar traffic. The bursty characteristic of traffic over multiple time scales is captured by the superposition of a number of two-state Markov-modulated poisson processes (MMPPs). Simulation experiments demonstrate that the proposed model exhibits a good degree of accuracy for various system sizes and under different operating conditions. The analytical model is then used to investigate the impact of the important parameter of traffic self-similarity on network performance.

Original language	English
Title of host publication	2003 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2003
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	39-47
Number of pages	9
ISBN (Print)	0780377567, 9780780377561
DOIs	https://doi.org/10.1109/ISPASS.2003.1190231
Publication status	Published - 2003
Event	2003 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2003 - Austin, United States Duration: Mar 6 2003 → Mar 8 2003

Other

Other	2003 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2003
Country/Territory	United States
City	Austin
Period	3/6/03 → 3/8/03

Keywords

Analytical models
Autocorrelation
Communication system traffic
Mathematical model
Performance analysis
Routing
Stochastic processes
System performance
Telecommunication traffic
Traffic control

ASJC Scopus subject areas

Computer Networks and Communications

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10.1109/ISPASS.2003.1190231

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Mathematical modelling of adaptive wormhole routing in the presence of self-similar traffic. / Min, Geyong; Ould-Khaoua, M.

2003 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2003. Institute of Electrical and Electronics Engineers Inc., 2003. p. 39-47 1190231.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Min, G & Ould-Khaoua, M 2003, Mathematical modelling of adaptive wormhole routing in the presence of self-similar traffic. in 2003 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2003., 1190231, Institute of Electrical and Electronics Engineers Inc., pp. 39-47, 2003 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2003, Austin, United States, 3/6/03. https://doi.org/10.1109/ISPASS.2003.1190231

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abstract = "The properties of self-similar traffic have strong effects on queueing performance. It has been suggested that many existing computer and communication systems need to be reevaluated in the presence of this new type of traffic. To this end, this paper proposes an analytical performance model for adaptive wormhole routing in torus interconnection networks under self-similar traffic. The bursty characteristic of traffic over multiple time scales is captured by the superposition of a number of two-state Markov-modulated poisson processes (MMPPs). Simulation experiments demonstrate that the proposed model exhibits a good degree of accuracy for various system sizes and under different operating conditions. The analytical model is then used to investigate the impact of the important parameter of traffic self-similarity on network performance.",

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Mathematical modelling of adaptive wormhole routing in the presence of self-similar traffic

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Keywords

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