Smart scheduling for saving energy in grid computing

Authors:
A. Fernández-Montes;L. Gonzalez-Abril;Juan A. Ortega;Laurent Lefèvre
Affiliations:
Departamento de Lenguajes y Sistemas Informáticos, Universidad de Sevilla, Spain;Departamento de Economía Aplicada I, Universidad de Sevilla, Spain;Departamento de Lenguajes y Sistemas Informáticos, Universidad de Sevilla, Spain;INRIA RESO - Université de Lyon - ícole Normale Supérieure, France
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

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Abstract

Energy saving involves two direct benefits: sustainability and cost reduction. Within the field of Information Technology, clusters, grids and data centres represent the hungriest consumers of energy and therefore 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.