Task scheduling in cloud computing environment using hybrid of genetic algorithm and naked mole rat algorithm (GA-NMRA)
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 computin...
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| Format: | Academic Exercise |
| Language: | English English |
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2022
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| Online Access: | https://eprints.ums.edu.my/id/eprint/33272/1/TASK%20SCHEDULING%20IN%20CLOUD%20COMPUTING%20ENVIRONMENT%20USING%20HYBRID%20OF%20GENETIC%20ALGORITHM%20AND%20NAKED%20MOLE%20RAT%20ALGORITHM%20%28GA-NMRA%29.24pages.pdf https://eprints.ums.edu.my/id/eprint/33272/2/TASK%20SCHEDULING%20IN%20CLOUD%20COMPUTING%20ENVIRONMENT%20USING%20HYBRID%20OF%20GENETIC%20ALGORITHM%20AND%20NAKED%20MOLE%20RAT%20ALGORITHM%20%28GA-NMRA%29.pdf |
| _version_ | 1796911377327063040 |
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| author | Mohammad Ozaniezie Onasis |
| author_facet | Mohammad Ozaniezie Onasis |
| author_sort | Mohammad Ozaniezie Onasis |
| collection | UMS |
| description | 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. |
| first_indexed | 2024-03-06T03:17:53Z |
| format | Academic Exercise |
| id | ums.eprints-33272 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:17:53Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ums.eprints-332722022-07-18T04:29:50Z https://eprints.ums.edu.my/id/eprint/33272/ Task scheduling in cloud computing environment using hybrid of genetic algorithm and naked mole rat algorithm (GA-NMRA) Mohammad Ozaniezie Onasis QA76.75-76.765 Computer software 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. 2022 Academic Exercise NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/33272/1/TASK%20SCHEDULING%20IN%20CLOUD%20COMPUTING%20ENVIRONMENT%20USING%20HYBRID%20OF%20GENETIC%20ALGORITHM%20AND%20NAKED%20MOLE%20RAT%20ALGORITHM%20%28GA-NMRA%29.24pages.pdf text en https://eprints.ums.edu.my/id/eprint/33272/2/TASK%20SCHEDULING%20IN%20CLOUD%20COMPUTING%20ENVIRONMENT%20USING%20HYBRID%20OF%20GENETIC%20ALGORITHM%20AND%20NAKED%20MOLE%20RAT%20ALGORITHM%20%28GA-NMRA%29.pdf 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) |
| spellingShingle | QA76.75-76.765 Computer software Mohammad Ozaniezie Onasis Task scheduling in cloud computing environment using hybrid of genetic algorithm and naked mole rat algorithm (GA-NMRA) |
| title | Task scheduling in cloud computing environment using hybrid of genetic algorithm and naked mole rat algorithm (GA-NMRA) |
| title_full | Task scheduling in cloud computing environment using hybrid of genetic algorithm and naked mole rat algorithm (GA-NMRA) |
| title_fullStr | Task scheduling in cloud computing environment using hybrid of genetic algorithm and naked mole rat algorithm (GA-NMRA) |
| title_full_unstemmed | Task scheduling in cloud computing environment using hybrid of genetic algorithm and naked mole rat algorithm (GA-NMRA) |
| title_short | Task scheduling in cloud computing environment using hybrid of genetic algorithm and naked mole rat algorithm (GA-NMRA) |
| title_sort | task scheduling in cloud computing environment using hybrid of genetic algorithm and naked mole rat algorithm ga nmra |
| topic | QA76.75-76.765 Computer software |
| url | https://eprints.ums.edu.my/id/eprint/33272/1/TASK%20SCHEDULING%20IN%20CLOUD%20COMPUTING%20ENVIRONMENT%20USING%20HYBRID%20OF%20GENETIC%20ALGORITHM%20AND%20NAKED%20MOLE%20RAT%20ALGORITHM%20%28GA-NMRA%29.24pages.pdf https://eprints.ums.edu.my/id/eprint/33272/2/TASK%20SCHEDULING%20IN%20CLOUD%20COMPUTING%20ENVIRONMENT%20USING%20HYBRID%20OF%20GENETIC%20ALGORITHM%20AND%20NAKED%20MOLE%20RAT%20ALGORITHM%20%28GA-NMRA%29.pdf |
| work_keys_str_mv | AT mohammadozaniezieonasis taskschedulingincloudcomputingenvironmentusinghybridofgeneticalgorithmandnakedmoleratalgorithmganmra |