Performance properties of combined heterogeneous networks

Nader Mohamed, Jameela Al-Jaroodi, Hong Jiang, David Swanson

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

1 Scopus citations

Abstract

We study the performance properties of combined multiple heterogeneous networks. We consider two nodes: node1 and node2, with multiple heterogeneous physical networks connecting them. Each network has some properties such as bandwidth, latency, and packet loss ratio. We develop an analytical model to find the peak performance, or upper bound, of combined networks for the transfer of a message of a given size in parallel. The model is based on the existence of an optimal load balancing mechanism for parallel transfer that fully utilizes the existing networks. The paper provides a framework to find the peak performance parameters of message transfer over combined heterogenous networks as well as to measure the actual utilization and efficiency of parallel message transfer implementations.

Original languageEnglish (US)
Title of host publicationProceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)0769519261, 9780769519265
DOIs
StatePublished - 2003
EventInternational Parallel and Distributed Processing Symposium, IPDPS 2003 - Nice, France
Duration: Apr 22 2003Apr 26 2003

Publication series

NameProceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003

Other

OtherInternational Parallel and Distributed Processing Symposium, IPDPS 2003
CountryFrance
CityNice
Period4/22/034/26/03

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Theoretical Computer Science
  • Software

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    Mohamed, N., Al-Jaroodi, J., Jiang, H., & Swanson, D. (2003). Performance properties of combined heterogeneous networks. In Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003 [1213502] (Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPDPS.2003.1213502