Paper Info
Title
Energy policies for data-center monolithic schedulers.
Abstract
•Cloud-computing data centers consume huge amounts of energy.•We model seven energy policies for Cloud Computing environments.•We perform tests to empirically show the benefits of applying these strategies.•We consider the impact on realistic scenarios with heterogeneous workloads.•Simulation tool is publicly available and results in real scenarios can be obtained.
Year
DOI
Venue
2018
10.1016/j.eswa.2018.06.007
Expert Systems with Applications
Keywords
Field
DocType
Energy policies,Efficiency,Data center,Simulation software,Decision making
Economic impact analysis,Workload,Computer science,Energy policy,Artificial intelligence,Data center,Energy consumption,Sustainability,Machine learning,Environmental economics,Cost reduction,Cloud computing
Journal
Volume
ISSN
Citations 
110
0957-4174
3
PageRank 
References 
Authors
0.37
20
3
Name
Order
Citations
PageRank
Damián Fernández-Cerero1235.40
Alejandro Fernández-Montes2428.87
Juan Antonio Ortega Redondo320829.56