Journal
JOURNAL OF COMPUTATIONAL SCIENCE
Volume 23, Issue -, Pages 120-129Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jocs.2016.10.013
Keywords
Concurrent jobs; Workflow applications; Clouds; Grids
Funding
- Fundacao para a Ciencia e Tecnologia [FCT - DFRH - SFRH/BD/80061/2011, UID/CEC/00027/2013]
- Fundação para a Ciência e a Tecnologia [UID/CEC/00027/2013] Funding Source: FCT
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In many domains of science, scientific applications are represented by workflows. In this paper, we introduce a resource management strategy to maximize the success rate of concurrent workflow applications constrained by individual deadline and budget values. The Multi-Workflow Deadline-Budget Scheduling (MW-DBS) algorithm can schedule multiple workflows that can arrive in the system at any time, with the aim of satisfying individual job requirements. MW-DBS produces schedules without performing optimizations but guarantees that the deadline and budget defined for each job are not exceeded. Experimental results show that our strategy increases the scheduling success rate of finding valid solutions. (C) 2016 Elsevier B.V. All rights reserved.
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