Matching renewable energy supply and demand in green datacenters

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dc.contributor	Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor	Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.contributor.author	Goiri, Iñigo
dc.contributor.author	Haque, Md E.
dc.contributor.author	Le, Kien
dc.contributor.author	Beauchea, Ryan
dc.contributor.author	Nguyen, Thu D.
dc.contributor.author	Guitart Fernández, Jordi
dc.contributor.author	Torres Viñals, Jordi
dc.contributor.author	Bianchini, Ricardo
dc.date	2015-02-01
dc.identifier.citation	Goiri, I. [et al.]. Matching renewable energy supply and demand in green datacenters. "Ad hoc networks", 01 Febrer 2015, vol. 25, p. 520-534.
dc.identifier.citation	1570-8705
dc.identifier.citation	10.1016/j.adhoc.2014.11.012
dc.identifier.uri	http://hdl.handle.net/2117/27636
dc.language.iso	eng
dc.publisher	Elsevier
dc.relation	http://www.sciencedirect.com/science/article/pii/S1570870514002649
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Energies::Recursos energètics renovables
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subject	Renewable energy sources
dc.subject	Computer networks
dc.subject	Green energy
dc.subject	Energy-aware job scheduling
dc.subject	Datacenters
dc.subject	Energies renovables
dc.subject	Ordinadors, Xarxes d'
dc.title	Matching renewable energy supply and demand in green datacenters
dc.type	info:eu-repo/semantics/draft
dc.type	info:eu-repo/semantics/article
dc.description.abstract	In this paper, we propose GreenSlot, a scheduler for parallel batch jobs in a datacenter powered by a photovoltaic solar array and the electrical grid (as a backup). GreenSlot predicts the amount of solar energy that will be available in the near future, and schedules the workload to maximize the green energy consumption while meeting the jobs' deadlines. If grid energy must be used to avoid deadline violations, the scheduler selects times when it is cheap. Evaluation results show that GreenSlot can increase solar energy consumption by up to 117% and decrease energy cost by up to 39%, compared to conventional schedulers, when scheduling three scientific workloads and a data processing workload. Based on these positive results, we conclude that green datacenters and green-energy-aware scheduling can have a significant role in building a more sustainable IT ecosystem.
dc.description.abstract	Peer Reviewed

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