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Speculative Scheduling of Parameter Sweep Applications Using Job Behavior Descriptions
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Author(s): Attila Ulbert (Eötvös Loránd University, Hungary), László Csaba Lorincz (Eötvös Loránd University, Hungary), Tamás Kozsik (Eötvös Loránd University, Hungary)and Zoltán Horváth (Eötvös Loránd University, Hungary)
Copyright: 2009
Volume: 1
Issue: 1
Pages: 17
Source title:
International Journal of Grid and High Performance Computing (IJGHPC)
Editor(s)-in-Chief: Emmanuel Udoh (Sullivan University, USA)and Ching-Hsien Hsu (Asia University, Taiwan)
DOI: 10.4018/jghpc.2009010103
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Abstract
The execution of data intensive Grid applications still raises several questions regarding job scheduling, data migration and replication. This article presents new scheduling algorithms using complex job behavior descriptions that allow estimating job completion times more precisely thus improving scheduling decisions. Three approaches of using complex, re-fined job descriptions are discussed: a) single job description, b) multiple job descriptions, c) multiple job descriptions with mutation. The proposed Grid middleware components (1) monitor the execution of jobs and gather resource access information, (2) analyze the compiled information and generate a description of the behavior of the job, (3) refine the already existing job description, and (4) use the refined behavior description to schedule the submitted jobs.
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