Performance prediction of wormhole switching in hypercubes with bursty traffic pattern

Geyong Min, Mohamed Ould-Khaoua, John Ferguson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Wormhole switching has been extensively deployed in the current-generation of high-end parallel systems. The performance of wormhole switching in hypercubes has been primarily investigated under the assumption that traffic load follows a Poisson arrival process. However, many studies have shown that traffic in parallel computation environments can exhibit a high degree of burstiness and the Poisson arrival process is unable to model the behaviour of bursty traffic. This paper proposes a new analytical model for wormhole-switched hypercubes under bursty traffic. Simulation experiments demonstrate that the proposed model exhibits a good degree of accuracy under various operating conditions.

Original languageEnglish
Title of host publicationProceedings of the ACM Symposium on Applied Computing
EditorsG. Lamont
Pages985-989
Number of pages5
Publication statusPublished - 2003
EventProceedings of the 2003 ACM Symposium on Applied Computing - Melbourne, FL, United States
Duration: Mar 9 2003Mar 12 2003

Other

OtherProceedings of the 2003 ACM Symposium on Applied Computing
CountryUnited States
CityMelbourne, FL
Period3/9/033/12/03

Keywords

  • Bursty Traffic
  • Interconnection Networks
  • Parallel Systems
  • Performance Modelling

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    Min, G., Ould-Khaoua, M., & Ferguson, J. (2003). Performance prediction of wormhole switching in hypercubes with bursty traffic pattern. In G. Lamont (Ed.), Proceedings of the ACM Symposium on Applied Computing (pp. 985-989)