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N, Senthamarai
- Migration Prediction Approach for Predict the Overloaded and Under Loaded Workload in Cloud Environment
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Authors
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1 Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, Tamil Nadu, IN
1 Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, Tamil Nadu, IN
Source
International Journal of Computer Networks and Applications, Vol 9, No 1 (2022), Pagination: 51-59Abstract
The resource necessity of any application substance differs dynamically dependent on its plan and other computational conditions like processor, memory, etc. A migration prediction approach is proposed to foresee the overburden and under stacked hosts, in light of the previous history of execution time taken for different workloads during VM migration. The rough set theory is incorporated in this proposed model to analyze the execution time taken for different workloads. The rough set theory is a popular prediction technique to predict execution time for different workloads during VM. The migration delay is minimized based on the past execution time of each processor for different categories of jobs. The execution time for each processor is calculated and maintained inside the prediction table. The quantity of future migrations is calculated based totally at the feasible allocations that can be made, in order that the migration delay is minimized based at the beyond execution time of each processor for extraordinary categories of jobs. Finally, optimized resource utilization is executed to give the exceptional answer amongst all possible solutions and it reduces makespan fee of jobs.Keywords
Work Load, Migration, Prediction, Rough Set Theory, Delay.Full Text
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