| Revista: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000607844 |
| ISSN: | 1405-5546 |
| Autores: | Parida, Bivasa Ranjan1 Rath, Amiya Kumar1 Pati, Bibudhendu3 Panigrahi, Chhabi Rani3 Mohapatra, Hitesh4 Buyya, Rajkumar5 |
| Instituciones: | 1Veer Surendra Sai University Of Technology, Department of Computer Science and Engineering, Orissa. India 2Biju Patnaik University Of Technology, Orissa. India 3Rama Devi Women’s University, Department of Computer Science, India 4KIIT University, School of Computer Engineering, Orissa. India 5University of Melbourne, Cloud Computing and Distributed Systems (CLOUDS), Victoria. Australia |
| Año: | 2023 |
| Periodo: | Oct-Dic |
| Volumen: | 27 |
| Número: | 4 |
| Paginación: | 1147-1155 |
| País: | México |
| Idioma: | Inglés |
| Resumen en inglés | Energy consumption in cloud datacenters is an alarming issue in recent times. Although handful of researches have been conducted in this domain during virtual machine placement in cloud milieu, efficient techniques are still scarce. Hence, we have worked on a novel approach to propose a hybrid metaheuristic technique combining the salp swarm optimization and emperor penguins colony algorithm, i.e. SSEPC to place the virtual machines in the most suitable datacenters as well as servers in a cloud environment, while optimizing the energy consumption. The method we propose has been compared with certain relevant hybrid algorithms in this direction like Sine Cosine Algorithm and Salp Swarm Algorithm (SCA-SSA), Genetic Algorithm and Tabu-search Algorithm (GATA), and Order Exchange & Migration algorithm and Ant Colony System algorithm (OEMACS) to test its efficacy. It is found that proposed SSEPC is consuming 4.4%, 8.2%, and 16.6% less energy as compared to its counterparts GATA, OEMACS, and SCA-SSA respectively. |
| Keyword: | Cloud computing, Salp swarm optimization, Emperor penguins colony algorithm, Energy consumption, Virtual machine placement |
| Texto completo: | Texto completo (Ver PDF) Texto completo (Ver HTML) |
