Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6874950 | Journal of Parallel and Distributed Computing | 2018 | 42 Pages |
Abstract
Experimental results show that the proposed solution reduces up to 45% of the energy consumption of the CC system. Such significant improvement was achieved by the combination of an energy-aware scheduler with energy-efficiency policies focused on the hibernation of VMs.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Damián Fernández-Cerero, Agnieszka Jakóbik, Daniel Grzonka, Joanna KoÅodziej, Alejandro Fernández-Montes,