Indian Journal of Science and Technology
Year: 2019, Volume: 12, Issue: 23, Pages: 1-8
M. S. Sudheer1*, M. Vamsi Krishna2 and Anurag1
1Department of CSE, Centurion University of Technology and Management, Parlakhemudi – 761211, Odisha, India; [email protected], [email protected]
2Department of CSE, Chaitanya Engineering College, Kakinada – 533003, Andhra Pradesh, India;
*Author for correspondence
M. S. Sudheer
Department of CSE, Centurion University of Technology and Management, Parlakhemudi – 761211, Odisha, India.
Email: [email protected]
Objective: To study and analyze the existing scheduling algorithms i.e. by using Metaheuristic scheduling algorithms for effective resource provisioning in cloud computing. Methods: Metaheuristic scheduling algorithms for scheduling in cloud computing as they have faster convergence rather than the other optimization algorithms. The existing algorithms considered only few metrics like make span, resource utilization, processing cost, execution cost. Findings: In the existing scheduling algorithms, even though they have used the above-mentioned metrics still the resources in the cloud were not efficiently provisioned as the workload in the cloud is heterogeneous and dynamic. We have identified the few metrics which were not addressed by the previous authors i.e. electricity price per unit, average migration time and memory utilization, communication cost. Improvements: In the existing algorithms, few parameters were considered and still some of the parameters need to be addressed so as to schedule the resources in an effective way. In this paper, we have studied and analyzed about some of the task scheduling and workflow scheduling algorithms in cloud computing and given few research directions.
Keywords: Cloud Computing, Makespan, Metaheuristic, Resource Utilization, Task Scheduling
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