Smart scheduling for saving energy in grid computing
Energy saving involves two direct benefits: sustainability and cost reduction. Within the field of Informa tion Technology, clusters, grids and data centres represent the hungriest consumers of energy and there fore energy (saving) policies for these infrastructures should be applied in order to max...
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2012 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/132134 |
| Acceso en línea: | https://hdl.handle.net/11441/132134 https://doi.org/10.1016/j.eswa.2012.02.115 |
| Access Level: | acceso abierto |
| Palabra clave: | Energy policies Efficiency Arranging policies Simulation software |
| Sumario: | Energy saving involves two direct benefits: sustainability and cost reduction. Within the field of Informa tion Technology, clusters, grids and data centres represent the hungriest consumers of energy and there fore energy (saving) policies for these infrastructures should be applied in order to maximize their resources. It is proved in this paper that approximately 40% of energy can be saved in a data centre if an adequate policy is applied. Furthermore, a software tool is presented where simulations can be run and results for real scenarios can be obtained. |
|---|