Multi-cluster computing interconnection network performance modeling and analysis

Javadi, Bahman, Akbari, Mohammad K. and Abawajy, Jemal H. 2009, Multi-cluster computing interconnection network performance modeling and analysis, Future generation computer systems, vol. 25, no. 7, pp. 737-746, doi: 10.1016/j.future.2008.07.010.

Attached Files
Name Description MIMEType Size Downloads

Title Multi-cluster computing interconnection network performance modeling and analysis
Author(s) Javadi, Bahman
Akbari, Mohammad K.
Abawajy, Jemal H.ORCID iD for Abawajy, Jemal H.
Journal name Future generation computer systems
Volume number 25
Issue number 7
Start page 737
End page 746
Total pages 10
Publisher Elsevier BV
Place of publication Amsterdam, The Netherlands
Publication date 2009-07
ISSN 0167-739X
Keyword(s) Analytical modeling
Performance analysis
Interconnection network
Summary The overall performance of a distributed system often depends on the effectiveness of its interconnection network. Thus, the study of the communication networks for distributed systems–which is the focus of this paper–is very important. In particular, we address the problem of fat-tree based interconnection networks performance modeling for multi-user heterogeneous multi-cluster computing systems. To this end, we present an analytical model and validate the model through comprehensive simulation. The results of the simulation demonstrate that the proposed model exhibits a good degree of accuracy for various system organizations and under different working conditions. On the basis of the validated model, we propose an adaptive assignment function based on the existing heterogeneity of the system to minimize multi-user environment overhead.
Language eng
DOI 10.1016/j.future.2008.07.010
Field of Research 080501 Distributed and Grid Systems
Socio Economic Objective 890299 Computer Software and Services not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2008, Elsevier B.V.
Persistent URL

Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 1 times in TR Web of Science
Scopus Citation Count Cited 1 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 821 Abstract Views, 3 File Downloads  -  Detailed Statistics
Created: Mon, 07 Jun 2010, 14:40:09 EST by Leanne Swaneveld

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact