Academic Journal
A HYBRID GENETIC ALGORITHM-BASED MODEL FOR JOBS SCHEDULING IN CLOUD COMPUTING
| العنوان: | A HYBRID GENETIC ALGORITHM-BASED MODEL FOR JOBS SCHEDULING IN CLOUD COMPUTING |
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| المؤلفون: | Anthony E. Umoru, Samuel A. Oluwadare, Folasade M. Dahunsi |
| المصدر: | International Journal of Recent Research in Mathematics Computer Science and Information Technology, 10(2), 11-19, (2023-12-08) |
| بيانات النشر: | Paper Publications |
| سنة النشر: | 2023 |
| المجموعة: | Zenodo |
| مصطلحات موضوعية: | Cloud computing, Completion time, Hybrid Genetic algorithm, Job scheduling, Max-min, FCFS, Optimization |
| الوصف: | Cloud computing is a platform that provide users with computing resources via the Internet on a pay-as-you-use basis. In cloud computing paradigm, resources are shared; hence, there is a need to utilize the resources appropriately to achieve the quality of service stipulated by the user and yield maximum profit for the service provider. This requirement of resources sharing informs the need for efficient jobs scheduling. Jobs Scheduling means the set of policies used to control the order of work to be done by a computer system. The jobs scheduling problem in cloud computing focuses mainly on efficiently using computing resources to benefit both the service provider and the user. In this study a new algorithm is proposed that minimize the completion time and cost of cloudlets on resources and improve the overall experience of both service providers and customers. The hybrid genetic algorithm uses the output of max-min and first come first serve methods. Two physical machines, twenty five virtual machines and two thousand cloudlets were used to test run the algorithm. The results showed that the proposed algorithm achieved the optimal solutions for the two metrics of completion time and cost. Keywords: Cloud computing, Completion time, Hybrid Genetic algorithm, Job scheduling, Max-min, FCFS, Optimization. Title: A HYBRID GENETIC ALGORITHM-BASED MODEL FOR JOBS SCHEDULING IN CLOUD COMPUTING Author: Anthony E. Umoru,Samuel A. Oluwadare, Folasade M. Dahunsi International Journal of Recent Research in Mathematics Computer Science and Information Technology ISSN 2350-1022 Vol. 10, Issue 2, October 2023 - March 2024 Page No: 11-19 Paper Publications Website: www.paperpublications.org Published Date: 08-December-2023 DOI: https://doi.org/10.5281/zenodo.10300111 Paper Download Link (Source) https://www.paperpublications.org/upload/book/A%20HYBRID%20GENETIC%20ALGORITHM-BASED-08122023-2.pdf |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| Relation: | https://doi.org/10.5281/zenodo.10300110; https://doi.org/10.5281/zenodo.10300111; oai:zenodo.org:10300111 |
| DOI: | 10.5281/zenodo.10300111 |
| الاتاحة: | https://doi.org/10.5281/zenodo.10300111 https://www.paperpublications.org/upload/book/A%20HYBRID%20GENETIC%20ALGORITHM-BASED-08122023-2.pdf |
| Rights: | info:eu-repo/semantics/openAccess ; Creative Commons Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/legalcode |
| رقم الانضمام: | edsbas.BC96961A |
| قاعدة البيانات: | BASE |
| DOI: | 10.5281/zenodo.10300111 |
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