Modeling and predicting point-to-point communication delay of circuit switching in the mesh-connected networks

F. Safaei, A. Khonsari, M. Fathy, M. Ould-Khaoua

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

Abstract

Several analytical performance models for Circuit Switching (CS) in k-ary n-cubes have been reported in the literature. However, to the best of our knowledge, the performance properties of CS have not been investigated in the mesh networks. To address this shortcoming, this paper proposes the first analytical modeling approach to predict the mean message latency in 2-D mesh interconnect networks using CS augmented with virtual channels. Analytical approximations of the model are confirmed by comparing with those obtained through simulation experiments.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages496-502
Number of pages7
Volume4904 LNCS
Publication statusPublished - 2008
Event9th International Conference on Distributed Computing and Networking, ICDCN 2008 - Kolkata, India
Duration: Jan 5 2008Jan 8 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4904 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other9th International Conference on Distributed Computing and Networking, ICDCN 2008
CountryIndia
CityKolkata
Period1/5/081/8/08

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

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    Safaei, F., Khonsari, A., Fathy, M., & Ould-Khaoua, M. (2008). Modeling and predicting point-to-point communication delay of circuit switching in the mesh-connected networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4904 LNCS, pp. 496-502). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4904 LNCS).