Mohammad Ozaniezie Onasis (2022) Task scheduling in cloud computing environment using hybrid of genetic algorithm and naked mole rat algorithm (GA-NMRA). Universiti Malaysia Sabah. (Unpublished)
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TASK SCHEDULING IN CLOUD COMPUTING ENVIRONMENT USING HYBRID OF GENETIC ALGORITHM AND NAKED MOLE RAT ALGORITHM (GA-NMRA).24pages.pdf Download (1MB) |
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TASK SCHEDULING IN CLOUD COMPUTING ENVIRONMENT USING HYBRID OF GENETIC ALGORITHM AND NAKED MOLE RAT ALGORITHM (GA-NMRA).pdf Restricted to Registered users only Download (4MB) |
Abstract
Cloud computing is on-demand service and resources available for the computing systems nowadays, especially in the data storage without interference from humans. Task scheduling and resource allocation are essential aspects of cloud computing. This research proposes task scheduling in cloud computing using a hybrid genetic algorithm and naked mole rat algorithm to solve the task scheduling problem. Genetic Algorithm (GA) was widely used because of its accuracy and simplicity. However, it will become slower in some instances that include a more significant problem size. Hence, Naked Mole Rat Algorithm (NMRA) can optimize the efficiency and performance because it provides an efficient scheduling mechanism. NMRA also will minimize the execution time and deadline. This research will compare hybrid Genetic Algorithm and Naked Mole Rat Algorithm (GA-NMRA) with other meta-heuristic algorithms. Other than that, this research will use Waterfall Model Methodology as its research methodology. Furthermore, this research will apply hybrid GA-NMRA for task scheduling in cloud computing environments. This research will conduct several experiments in Cloud Computing Environment Simulation comparing GA, NMRA and the hybrid GA-NMRA to get research results. The result will show that GA-NMRA will improve the quality of service, minimize the time execution and deadline for a given task.
| Item Type: | Academic Exercise |
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| Keyword: | Cloud computing , Genetic algorithm , Task scheduling |
| Subjects: | Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science > QA76.75-76.765 Computer software |
| Department: | FACULTY > Faculty of Computing and Informatics |
| Depositing User: | DG MASNIAH AHMAD - |
| Date Deposited: | 18 Jul 2022 12:26 |
| Last Modified: | 18 Jul 2022 12:29 |
| URI: | https://eprints.ums.edu.my/id/eprint/33272 |
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