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dc.contributor.authorLeón Gutiérrez, Xavier
dc.contributor.authorNavarro Moldes, Leandro
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2013-07-10T14:59:43Z
dc.date.created2013-01
dc.date.issued2013-01
dc.identifier.citationLeon, X.; Navarro, L. A Stackelberg game to derive the limits of energy savings for the allocation of data center resources. "Future generation computer systems", Gener 2013, vol. 29, núm. 1, p. 74-83.
dc.identifier.issn0167-739X
dc.identifier.urihttp://hdl.handle.net/2117/19899
dc.description.abstractEnergy-related costs are becoming one of the largest contributors to the overall cost of operating a data center, whereas the degree of data center utilization continues to be very low. An energy-aware dynamic provision of resources based on the consolidation of existing application instances can simultaneously address the underutilization of servers while greatly reducing energy costs. The economics behind energy costs cannot be treated separately from resource provision and allocation. However, current scheduling techniques based on market mechanisms do not specifically deal with such a scenario. To establish the upper bound of energy savings, we model the problem of minimizing energy consumption when allocating resources to networked applications as a Stackelberg leadership game. The model is applied to a proportional-share mechanism in which resource providers can maximize profit by minimizing energy costs, while users can select resources that ensure that their minimum requirements are satisfied. We show that our mechanism can determine the optimal set of resources switched on and off, while maintaining user service level agreements (SLAs) — even in realistic conditions considering incomplete information
dc.format.extent10 p.
dc.language.isoeng
dc.publisherElsevier
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Energies::Eficiència energètica
dc.subject.lcshEnergy conservation
dc.subject.lcshGame theory
dc.subject.otherEnergy efficiency
dc.subject.otherIncentive mechanism
dc.subject.otherStackelberg game
dc.subject.otherLarge-scale shared computational infrastructures
dc.titleA Stackelberg game to derive the limits of energy savings for the allocation of data center resources
dc.typeArticle
dc.subject.lemacEnergia -- Estalvi
dc.subject.lemacJocs, Teoria de
dc.contributor.groupUniversitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts
dc.identifier.doi10.1016/j.future.2012.05.022
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0167739X12001306
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac11232767
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorLeon, X.; Navarro, L.
local.citation.publicationNameFuture generation computer systems
local.citation.volume29
local.citation.number1
local.citation.startingPage74
local.citation.endingPage83


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