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A study of the concurrent execution of parallel and sequential applications on a non-dedicated cluster

Goscinski, Andrzej M. and Wong, Adam K. L. 2008, A study of the concurrent execution of parallel and sequential applications on a non-dedicated cluster, Parallel computing, vol. 34, no. 2, pp. 69-91.

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Title A study of the concurrent execution of parallel and sequential applications on a non-dedicated cluster
Author(s) Goscinski, Andrzej M.
Wong, Adam K. L.
Journal name Parallel computing
Volume number 34
Issue number 2
Start page 69
End page 91
Publisher Elsevier BV
Place of publication Amsterdam. The Netherlands
Publication date 2008-02
ISSN 0167-8191
1872-7336
Keyword(s) concurrent execution
parallel and sequential applications
non-dedicated clusters
experimental performance study
Summary Computers of a non-dedicated cluster are often idle (users attend meetings, have lunch or coffee breaks) or lightly loaded (users carry out simple computations to support problem solving activities). These underutilised computers can be employed to execute parallel applications. Thus, these computers can be shared by parallel and sequential applications, which could lead to the improvement of their execution performance. However, there is a lack of experimental study showing the applications’ performance and the system utilization of executing parallel and sequential applications concurrently and concurrent execution of multiple parallel applications on a non-dedicated cluster. Here we present the result of an experimental study into load balancing based scheduling of mixtures of NAS Parallel Benchmarks and BYTE sequential applications on a very low cost non-dedicated cluster. This study showed that the proposed sharing provided performance boost as compared to the execution of the parallel load in isolation on a reduced number of computers and better cluster utilization. The results of this research were used not only to validate other researchers’ result generated by simulation but also to support our research mission of widening the use of non-dedicated clusters. Our promising results obtained could promote further research studies to convince universities, business and industry, which require a large amount of computing resources, to run parallel applications on their already owned non-dedicated clusters.
Language eng
Field of Research 080399 Computer Software not elsewhere classified
Socio Economic Objective 890299 Computer Software and Services not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2008
Copyright notice ©2009, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30018021

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