Extending Dynamic Scheduling Policies in WorkflowSim by Using Variance based Approach

Extending Dynamic Scheduling Policies in WorkflowSim by Using Variance based Approach

Jyoti Thaman (Maharishi Markandeshwar University, Sadopur, India) and Manpreet Singh (Maharishi Markandeshwar University, Sadopur, India)
Copyright: © 2016 |Pages: 18
DOI: 10.4018/IJGHPC.2016040105
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Abstract

Workflow scheduling has been around for more than two decades. With growing interest in service oriented computing architecture among researchers and corporate users, different platform like clusters computing, grid computing and most recent cloud computing, appeared on computing horizon. Cloud computing has attracted a lot of interest from all types of users. It gave rise to variety of applications and tasks with varied requirements. Heterogeneity in application's requirement catalyzes the provision of customized services for task types. Representation of tasks characteristics and inter-task relationship through workflows is in use since the ages of automation. Scheduling of workflows not only maintain the hierarchical relationship between the tasks but also dictates the requirement of dynamic scheduling. This paper presents a variance based extensions of few promising dynamic scheduling policies supported by WorkflowSim. An exhaustive performance analysis presents strength and weakness of the authors' proposal.
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This section presents a brief review of several research works done in the field of scheduling. Proposals in (Lee et al., 2009; Rahman et al., 2013; Abrishami et al., 2013; Abdelkader & Omara, 2012; Juve et al., 2013; Bittencourt & Madeira, 2011; Ji et al., 2015; Lee, Y. C., 2015; Ghafarian, T., & Javadi, B., 2015; Vasile et al., 2015) proposed scheduling solutions for workflows. Proposals in (Sakellariou & Henan, 2004; Li et al., 2012; Chen et al. 2013; Yu et al., 2008; Ding et al., 2015; Arabnejad et al., 2016; Xu, H., & Yang, B., 2015) refers to the scheduling solution for independent tasks.

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