The Journal of Supercomputing

, Volume 75, Issue 3, pp 1078–1093 | Cite as

Improving the energy efficiency of virtual data centers in an IT service provider through proactive fuzzy rules-based multicriteria decision making

  • Alberto Cocaña-Fernández
  • Julio Rodríguez-Soares
  • Luciano Sánchez
  • José RanillaEmail author


A proactive multicriteria mechanism for virtual data center optimization through server consolidation is proposed. In contrast with previous works where heuristic mechanisms were designed using expert knowledge, the new proactive approach uses multiobjective evolutionary algorithms to learn fuzzy rule-based systems that determine optimal reallocation decisions according to the preferences of the data center operator and a prediction of the load. Experimental evaluations based on an actual IT service provider show that the proactive mechanism is capable of improving energy savings compared to commercial hypervisors while complying with service provider’s preferences and constraints.


Energy efficiency Virtualization Multicriteria decision making Evolutionary algorithms Distal learning 



This work has been partially supported by the Ministry of Economy and Competitiveness (“Ministerio de Economía y Competitividad”) from Spain/FEDER under Grants TIN2016-81840-REDT, TEC2015-67387-C4-3-R and TIN2014-56967-R, and by the Regional Ministry of the Principality of Asturias under Grant FC-15-GRUPIN14-073.

Supplementary material

11227_2018_2301_MOESM1_ESM.pdf (882 kb)
Supplementary material 1 (pdf 881 KB)


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Departamento de InformáticaUniversidad de OviedoGijónSpain

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