Performance modeling and analysis of heterogeneous meta-computing systems interconnection networks

Javadia, Bahman, Abawajy, Jemal and Akbari, Mohammad K. 2008, Performance modeling and analysis of heterogeneous meta-computing systems interconnection networks, Computers & electrical engineering, vol. 34, no. 6, pp. 488-502.

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Title Performance modeling and analysis of heterogeneous meta-computing systems interconnection networks
Author(s) Javadia, Bahman
Abawajy, Jemal
Akbari, Mohammad K.
Journal name Computers & electrical engineering
Volume number 34
Issue number 6
Start page 488
End page 502
Total pages 15
Publisher Pergamon
Place of publication Oxford, England
Publication date 2008-11
ISSN 0045-7906
1879-0755
Keyword(s) analytical modeling
performance analysis
meta-computing
multi-cluster
communication networks
heterogeneity
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 is very important, which is the focus of this paper. In particular, we address the problem of interconnection networks performance modeling for heterogeneous meta-computing systems. We consider the meta-computing system as a typical multi-cluster system. Since the heterogeneity is becoming common in such systems, we take into account network as well as cluster size heterogeneity to propose the model. To this end, we present an analytical network model and validate the model through comprehensive simulation. The results of the simulation demonstrated that the proposed model exhibits a good degree of accuracy for various system organizations and under different working conditions.
Language eng
Field of Research 100503 Computer Communications Networks
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2008
Copyright notice ©2008, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30017826

Document type: Journal Article
Collection: School of Engineering and Information Technology
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