Next Article in Journal
Comparison and Analysis of Macro Energy Scenarios in China and a Decomposition-Based Approach to Quantifying the Impacts of Economic and Social Development
Previous Article in Journal
Operation and Control of a Direct-Driven PMSG-Based Wind Turbine System with an Auxiliary Parallel Grid-Side Converter
Energies 2013, 6(7), 3422-3443; doi:10.3390/en6073422
Article

A Power Load Distribution Algorithm to Optimize Data Center Electrical Flow

* ,
 and
Informatics Center, Federal University of Pernambuco, Av. Jornalista Anibal Fernandes, s/n, Cidade Universitária, Recife 50740-560, Brazil
* Author to whom correspondence should be addressed.
Received: 13 March 2013 / Revised: 15 June 2013 / Accepted: 4 July 2013 / Published: 15 July 2013
Download PDF [1051 KB, uploaded 17 March 2015]

Abstract

Energy consumption is a matter of common concern in the world today. Research demonstrates that as a consequence of the constantly evolving and expanding field of information technology, data centers are now major consumers of electrical energy. Such high electrical energy consumption emphasizes the issues of sustainability and cost. Against this background, the present paper proposes a power load distribution algorithm (PLDA) to optimize energy distribution of data center power infrastructures. The PLDA, which is based on the Ford-Fulkerson algorithm, is supported by an environment called ASTRO, capable of performing the integrated evaluation of dependability, cost and sustainability. More specifically, the PLDA optimizes the flow distribution of the energy flow model (EFM). EFMs are responsible for estimating sustainability and cost issues of data center infrastructures without crossing the restrictions of the power capacity that each device can provide (power system) or extract (cooling system). Additionally, a case study is presented that analyzed seven data center power architectures. Significant results were observed, achieving a reduction in power consumption of up to 15.5%.
Keywords: ASTRO/Mercury; energy flow model; dependability; sustainability; data center power architectures; power load distribution algorithm; optimization ASTRO/Mercury; energy flow model; dependability; sustainability; data center power architectures; power load distribution algorithm; optimization
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Export to BibTeX |
EndNote


MDPI and ACS Style

Ferreira, J.; Callou, G.; Maciel, P. A Power Load Distribution Algorithm to Optimize Data Center Electrical Flow. Energies 2013, 6, 3422-3443.

View more citation formats

Article Metrics

Comments

Citing Articles

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert