Scopus Indexed Paper

Paper Details


Title
A Comparative Study on GA-based Scheduling on Cloud Computing
Abstract
Cloud computing provides data storage and computing power based on user demand by assigning tasks to virtual resources. To deliver overall improved performance and meet challenges such as availability, resource utilization and reliability in the cloud, appropriate resource scheduling methods are needed. A number of metaheuristic optimization algorithms are used to solve the problem of resource scheduling. This work lists challenges and analyzes previous scheduling methods based on Genetic Algorithm (GA). It classifies the GA-based scheduling methods with respect to many parameters. At last, it presents the scopes of enhancement for future researchers.
Keywords
Authors
Lamisha Rawshan, Tasnim Rahman, Tasnim Rahman, Afsana Begum, Afsana Begum, Syeda Sumbul Hossain, Syeda Sumbul Hossain, Touhid Bhuiyan
Phone
Journal or Conference Name
ACM International Conference Proceeding Series
Publish Year
2019
Indexing
Scopus