Preemptive job scheduling policy for distributively-owned workstation clusters

Abawajy, Jemal 2004, Preemptive job scheduling policy for distributively-owned workstation clusters, Parallel processing letters, vol. 14, no. 2, pp. 255-270.

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Title Preemptive job scheduling policy for distributively-owned workstation clusters
Author(s) Abawajy, Jemal
Journal name Parallel processing letters
Volume number 14
Issue number 2
Start page 255
End page 270
Publisher World Scientific Publishing
Place of publication Singapore
Publication date 2004-06
ISSN 0129-6264
Keyword(s) cluster computing
opportunistic job scheduling policy
high throughput computing
performance analysis
Summary Cluster computing has come to prominence as a cost-effective parallel processing tool for solving many complex computational problems. In this paper, we propose a new timesharing opportunistic scheduling policy to support remote batch job executions over networked clusters to be used in conjunction with the Condor Up-Down scheduling algorithm. We show that timesharing approaches can be used in an opportunistic setting to improve both mean job slowdowns and mean response times with little or no throughput reduction. We also show that the proposed algorithm achieves significant improvement in job response time and slowdown as compared to exiting approaches and some recently proposed new approaches.
Language eng
Field of Research 080307 Operating Systems
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2004, World Scientific Publishing
Persistent URL http://hdl.handle.net/10536/DRO/DU:30002379

Document type: Journal Article
Collection: School of Information Technology
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