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dc.contributor.authorBerral García, Josep Lluís
dc.contributor.authorGoiri, Iñigo
dc.contributor.authorNguyen, Thu D.
dc.contributor.authorGavaldà Mestre, Ricard
dc.contributor.authorTorres Viñals, Jordi
dc.contributor.authorBianchini, Ricardo
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2015-06-03T08:45:58Z
dc.date.available2015-06-03T08:45:58Z
dc.date.created2014
dc.date.issued2014
dc.identifier.citationBerral, J. [et al.]. Building green cloud services at low cost. A: International Conference on Distributed Computing Systems. "2014 IEEE 34th International Conference on Distributed Computing Systems: 30 June-3 Juy 2014, Madrid, Spain: proceedings". Madrid: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 449-460.
dc.identifier.isbn978-1-4799-5168-0
dc.identifier.urihttp://hdl.handle.net/2117/28156
dc.description.abstractInterest in powering datacenters at least partially using on-site renewable sources, e.g. solar or wind, has been growing. In fact, researchers have studied distributed services comprising networks of such “green” datacenters, and load distribution approaches that “follow the renewables” to maximize their use. However, prior works have not considered where to site such a network for efficient production of renewable energy, while minimizing both datacenter and renewable plant building costs. Moreover, researchers have not built real load management systems for follow-the-renewables services. Thus, in this paper, we propose a framework, optimization problem, and solution approach for siting and provisioning green datacenters for a follow-the-renewables HPC cloud service. We illustrate the location selection tradeoffs by quantifying the minimum cost of achieving different amounts of renewable energy. Finally, we design and implement a system capable of migrating virtual machines across the green datacenters to follow the renewables. Among other interesting results, we demonstrate that one can build green HPC cloud services at a relatively low additional cost compared to existing services.
dc.format.extent12 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures distribuïdes
dc.subject.lcshData processing service centers -- Energy consumption
dc.subject.otherDatacenter
dc.subject.otherRenewable energy
dc.subject.otherGreen computing
dc.titleBuilding green cloud services at low cost
dc.typeConference lecture
dc.subject.lemacCentres informàtics -- Consum d'energia
dc.contributor.groupUniversitat Politècnica de Catalunya. LARCA - Laboratori d'Algorísmia Relacional, Complexitat i Aprenentatge
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.identifier.doi10.1109/ICDCS.2014.53
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6888921
dc.rights.accessOpen Access
drac.iddocument15594357
dc.description.versionPostprint (author’s final draft)
upcommons.citation.authorBerral, J.; Goiri, I.; Nguyen, T.D.; Gavaldà, R.; Torres, J.; Bianchini, R.
upcommons.citation.contributorInternational Conference on Distributed Computing Systems
upcommons.citation.pubplaceMadrid
upcommons.citation.publishedtrue
upcommons.citation.publicationName2014 IEEE 34th International Conference on Distributed Computing Systems: 30 June-3 Juy 2014, Madrid, Spain: proceedings
upcommons.citation.startingPage449
upcommons.citation.endingPage460


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