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Smart scheduling for saving energy in grid computing

2012; Elsevier BV; Volume: 39; Issue: 10 Linguagem: Inglês

10.1016/j.eswa.2012.02.115

1873-6793

Alejandro Fernández-Montes, Luis González Abril, Juan Antonio Ortega, Laurent Lefèvre,

Parallel Computing and Optimization Techniques

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.