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Minimizing energy costs in federated datacenters under uncertain green energy availability

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10.1109/ICTON.2014.6876318
 
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hdl:2117/24558

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Ruiz Ramírez, MarcMés informacióMés informacióMés informació
Asensio Garcia, AdrianMés informacióMés informacióMés informació
Velasco Esteban, Luis DomingoMés informacióMés informacióMés informació
Document typeConference report
Defense date2014
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
The cost of energy represents, by far, the largest fraction of total operational expenditures that datacenter operators ought to face. For this very reason, several studies have focused on evaluating how such energy costs can be reduced and on quantifying that reduction; using green energy sources (e.g. solar) that can be generated by installing infrastructures nearby datacenters is clearly an interesting option. Assuming that green energy is available, workloads consolidation in those datacenters with the highest amount of self-generated energy allows reducing remarkably the consumption of brown energy. Workload management is of paramount importance to increase green energy consumption in the context of distributed datacenters. In that scenario, a centralized and orchestrated operation leads to large energy cost savings. To this end, we firstly present a model to estimate the amount of green energy produced in each location as a function of the specific time period and the expected weather conditions. Next, the problem of minimizing energy costs by properly placing workloads in federated datacenters under uncertainty in the availability of green energy in each location is faced using stochastic programming techniques. Illustrative numerical results validate the usefulness of the proposed stochastic approach.
CitationRuiz, M.; Asensio, A.; Velasco, L. Minimizing energy costs in federated datacenters under uncertain green energy availability. A: International Conference on Transparent Optical Networks. "ICTON 2014: 16th International Conference on Transparent Optical Networks: Graz, 6th-10th July, 2014". Graz: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 6876318-1-6876318-4. 
URIhttp://hdl.handle.net/2117/24558
DOI10.1109/ICTON.2014.6876318
DL10.1109/ICTON.2014.6876621
ISBN978-1-4799-5600-5
Publisher versionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6876318
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  • GCO - Grup de Comunicacions Òptiques - Ponències/Comunicacions de congressos [411]
  • Departament d'Arquitectura de Computadors - Ponències/Comunicacions de congressos [1.874]
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