Skip to main navigation Skip to search Skip to main content

Improving the performance of multistage interconnection networks under nonuniform traffic pattern on shorter cycles

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Multistage interconnection networks (MINs) have been recently identified as an efficient interconnection network for a switching fabric of communication structures such as gigabit ethernet switch, terabit router, and ATM switch. Even though there have been a number of studies about modeling MINs in the literature, almost all of them are for trends MINs under uniform traffic which dose not reflect the realistic. In this paper, we propose an analytical model to evaluate the performance of ATM switches based on MINs with the small clock cycle (SCC) scheme under nonuniform traffic. Here MINs of 6 and 10 stages with built-in buffer modules holding single or multiple cells are considered for the evaluation. Comprehensive computer simulation results present that the proposed model is effective for predicting the performance of ATM switches under the realistic nonuniform traffic. It also shows that the detrimental effect on the hot spot traffic which is typical in the Internet turns out to be more significant as the switch size increases.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsPeter M.A. Sloot, David Abramson, Alexander V. Bogdanov, Yuriy E. Gorbachev, Jack J. Dongarra, Albert Y. Zomaya
PublisherSpringer Verlag
Pages463-473
Number of pages11
ISBN (Print)9783540401964
DOIs
StatePublished - 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2659
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fingerprint

Dive into the research topics of 'Improving the performance of multistage interconnection networks under nonuniform traffic pattern on shorter cycles'. Together they form a unique fingerprint.

Cite this