PLDAD—An Algorihm to Reduce Data Center Energy Consumption

Joao Ferreira, Gustavo Callou, Dietmar Tutsch and Paulo Maciel
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Joao Ferreira: Informatics Center, Federal University of Pernambuco, Recife 50740-560, Brazil
Gustavo Callou: Departament of Computing, Federal Rural University of Pernambuco, Recife 52171-900, Brazil
Dietmar Tutsch: Automation Technologye, Bergische Universität Wuppertal, D-42119 Wuppertal, Germany
Paulo Maciel: Informatics Center, Federal University of Pernambuco, Recife 50740-560, Brazil

Energies, 2018, vol. 11, issue 10, 1-24

Abstract: Due to the demands of new technologies such as social networks, e-commerce and cloud computing, more energy is being consumed in order to store all the produced data. While these new technologies require high levels of availability, a reduction in the cost and environmental impact is also expected. The present paper proposes a power balancing algorithm (power load distribution algorithm-depth (PLDA-D)) to optimize the energy distribution of data center electrical infrastructures. The PLDA-D is based on the Bellman and Ford–Fulkerson flow algorithms that analyze energy-flow models (EFM). EFM computes the power efficiency, sustainability and cost metrics of data center infrastructures. To demonstrate the applicability of the proposed strategy, we present a case study that analyzes four power infrastructures. The results obtained show about a 3.8% reduction in sustainability impact and operational costs.

Keywords: energy flow model; dependability; sustainability; data center; power architectures; optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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