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Scheduling Scientific Workflow on Cloud Using Meta-Heuristic Static Scheduling Algorithm

Journal: International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ) (Vol.10, No. 3)

Publication Date:

Authors : ; ;

Page : 6053-6062

Keywords : Scientific Workflow; Cloud Computing; Virtual Machines; Resource Provisioning; Deadline Constraint;

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Workflow has reduced the complexity of scientific applications. Other than Grid and Cluster, Cloud Computing is an ideal platform for an efficient workflow deployment. But due to its dynamic variation in VMs, many challenges come across it. Quality of Service (QoS) in terms of cost and execution time is a key issue in workflow scheduling. In this paper, the authors have proposed a scheduler that is inspired by PSO (particle swarm optimization) and works on a given deadline neglecting its constraint. The technique used is the meta-heuristic approach and results have been simulated in Cloud Sim and experimental results show better performance of the proposed method as compared to other state –of-artalgorithms.

Last modified: 2020-12-08 14:42:38