A Comparative Study on GA-based Scheduling on Cloud Computing

Lamisha Rawshan, Tasnim Rahman, Afsana Begum, Syeda Sumbul Hossain, Touhid Bhuiyan

Research output: Contribution to conferenceConference paper


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.
Original languageEnglish
Number of pages5
Publication statusPublished - 23 Nov 2019
Externally publishedYes
EventACM International Conference Proceeding Series -
Duration: 9 Dec 2019 → …


ConferenceACM International Conference Proceeding Series
Period9/12/19 → …


  • GA
  • Makespan
  • Meta-heuristics
  • Scheduling
  • VM


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