Adaptive hierarchical scheduling policy for enterprise grid computing systems

Abawajy, J. H. 2009, Adaptive hierarchical scheduling policy for enterprise grid computing systems, Journal of network and computer applications, vol. 32, no. 3, pp. 770-779.

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Title Adaptive hierarchical scheduling policy for enterprise grid computing systems
Author(s) Abawajy, J. H.
Journal name Journal of network and computer applications
Volume number 32
Issue number 3
Start page 770
End page 779
Total pages 10
Publisher Academic Press
Place of publication London, England
Publication date 2009-05
ISSN 1084-8045
1095-8592
Keyword(s) Enterprise grid computing
Parallel job scheduling
Coordinated CPU–I/O resources scheduling
High-performance computing
Summary In an enterprise grid computing environments, users have access to multiple resources that may be distributed geographically. Thus, resource allocation and scheduling is a fundamental issue in achieving high performance on enterprise grid computing. Most of current job scheduling systems for enterprise grid computing provide batch queuing support and focused solely on the allocation of processors to jobs. However, since I/O is also a critical resource for many jobs, the allocation of processor and I/O resources must be coordinated to allow the system to operate most effectively. To this end, we present a hierarchical scheduling policy paying special attention to I/O and service-demands of parallel jobs in homogeneous and heterogeneous systems with background workload. The performance of the proposed scheduling policy is studied under various system and workload parameters through simulation. We also compare performance of the proposed policy with a static space–time sharing policy. The results show that the proposed policy performs substantially better than the static space–time sharing policy.
Language eng
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 Ltd.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30029095

Document type: Journal Article
Collection: School of Information Technology
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