DIFFERENTIAL EVOLUTION- GSA BASED OPTIMAL TASK SCHEDULING IN CLOUD COMPUTING
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 7
Abstract
Cloud computing is an emerging technology now a days and has a lot of research potential in various areas like resource allocation, task scheduling, security and privacy etc. Task scheduling in cloud means for task execution selecting the best suitable resource. It is used to maximize resource utilization and minimize finishing time (Makespan). The total time taken for all tasks to be finished is known as makespan. The main objective of this paper is to optimize the task scheduling that uses DE-GSA to minimize the execution time (makespan).
Authors and Affiliations
Aakanksha Sharma
Keywords
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- EP ID EP90816
- DOI 10.5281/zenodo.58606
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