Energy-efficient Assignment of Applications to Servers by Taking into Account the Influence of Processes on Each Other

Repositorio e-Archivo

Mostrar el registro sencillo del ítem

dc.contributor.author Jarus, Mateusz
dc.contributor.author Oleksiak, Ariel
dc.contributor.author Narsisian, Wahi
dc.contributor.author Astsatryan, Hrachya
dc.contributor.editor Carretero Pérez, Jesús
dc.contributor.editor García Blas, Javier
dc.contributor.editor Margenov, Svetozar
dc.contributor.other Universidad Carlos III de Madrid. Computer Architecture, Communications and Systems Group (ARCOS)
dc.date.accessioned 2017-02-15T09:29:04Z
dc.date.available 2017-02-15T09:29:04Z
dc.date.issued 2016-12
dc.identifier.bibliographicCitation Carretero Pérez, Jesús; et.al. (eds.). (2016) Proceedings of the Third International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2016): Sofia, Bulgaria. Universidad Carlos III de Madrid, pp. 79-84
dc.identifier.isbn 978-84-617-7450-0
dc.identifier.uri http://hdl.handle.net/10016/24201
dc.description Proceedings of: Third International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2016). Sofia (Bulgaria), October, 6-7, 2016.
dc.description.abstract The power consumption of data centers is becoming a crucial challenge in the context of the steadily increasing demand for computation. In this regard finding a way to improve energy efficiency of running applications in data centers is becoming a crucial trend. One method to improve the processor utilization is the consolidation of applications on physical servers. It is possible to run multiple jobs in parallel on the same machine, especially when their requirements regarding computation are smaller than the maximum processor performance. It reduces the number of servers in the data center required to handle multiple requests and therefore leads to energy usage reductions. In this paper, we introduce a realistic model of applications with deadlines executed in parallel on a server and competing for the shared resources and present an energy-aware algorithm which may be used to minimize the overall energy consumption of the servers.
dc.description.sponsorship European Community's Seventh Framework Program
dc.description.sponsorship This work is partially supported by EU under the COST Program Action 1305: Network for Sustainable Ultrascale Computing (NESUS). The research presented in this paper is partially funded by a grant from Polish National Science Center under award number 2013/08/A/ST6/00296. This research was supported by the EU Seventh Framework Programme FP7/2007–2013 under grant agreement no. FP7-ICT-2013-10 (609757).
dc.format.extent 6
dc.format.mimetype application/pdf
dc.language.iso eng
dc.relation.ispartof http://hdl.handle.net/10016/24228
dc.subject.other Data centers
dc.subject.other Energy efficiency
dc.subject.other Processor utilization
dc.subject.other Applications scheduling
dc.title Energy-efficient Assignment of Applications to Servers by Taking into Account the Influence of Processes on Each Other
dc.type bookPart
dc.type conferenceObject
dc.subject.eciencia Informática
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/609757
dc.type.version publishedVersion
dc.relation.eventdate October, 6-7, 2016
dc.relation.eventnumber 3
dc.relation.eventplace Sofia, Bulgaria
dc.relation.eventtitle International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2016)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 79
dc.identifier.publicationlastpage 84
dc.identifier.publicationtitle Proceedings of the Third International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2016): Sofia, Bulgaria
 Find Full text

Ficheros en el ítem

*Click en la imagen del fichero para previsualizar.(Los elementos embargados carecen de esta funcionalidad)


Este ítem aparece en la(s) siguiente(s) colección(es)

Mostrar el registro sencillo del ítem