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Batra, Sheffy (2023) A Synergistic Game Theory-Genetic Approach in VM Migration for Cloud Environment: Enhancing Scalability and Migration Decisions. Masters thesis, Dublin, National College of Ireland.
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Abstract
With the growing cloud-oriented era of technology, virtual machine (VM) migration has become extremely common. There are n-number of VM migration strategies that are studied for optimal VM allocation, however, these strategies still suffer in the cloud computing model owing to inappropriate energy utilization, increased number of VM Migration, and execution time. The game-genetic Algorithm is proposed to find the optimal solution. It combines the concepts of Genetic algorithm with the Game theory algorithm for VM Migration. The proposed solution aims to optimize the allocation of VM which reduces the number of VM migrations, which in turn reduces the execution time and energy consumption. The efficiency of the proposed hybrid solution compared to the existing algorithm is 23.5% in terms of energy consumption, 16% in terms of the number of VM Migration, and 1% improvement in terms of execution time. With the same number of Resources, the proposed algorithm provided 24.80% efficiency in energy, a 31.77% reduction in the number of migrations compared to the genetic, IQMC, and MADMC algorithms.
| Item Type: | Thesis (Masters) |
|---|---|
| Supervisors: | Name Email Gupta, Punit UNSPECIFIED |
| Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing Q Science > QA Mathematics > Algebra > Algorithms > Computer algorithms |
| Divisions: | School of Computing > Master of Science in Cloud Computing |
| Depositing User: | Ciara O'Brien |
| Date Deposited: | 25 Mar 2025 18:49 |
| Last Modified: | 25 Mar 2025 18:49 |
| URI: | https://norma.ncirl.ie/id/eprint/7331 |
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