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Energies 2014, 7(1), 238-277; doi:10.3390/en7010238
Article

An Integrated Modeling Approach to Evaluate and Optimize Data Center Sustainability, Dependability and Cost

1,2,* , 1
, 1
, 3
 and 1
1 Informatics Center, Federal University of Pernambuco, Av. Jornalista Anibal Fernandes, s/n, Cidade Universitária, Recife 50740-560, Brazil 2 Department of Statistics and Informatics, Federal Rural University of Pernambuco, Rua Dom Manoel de Medeiros, s/n. Campus Dois Irmãos, Recife 52171-900, Brazil 3 Automation/Computer Science, University of Wuppertal, Bldg. FC.2.12 Rainer-Gruenter-Str. 21, Wuppertal 42119, Germany
* Author to whom correspondence should be addressed.
Received: 10 October 2013 / Revised: 29 November 2013 / Accepted: 15 December 2013 / Published: 8 January 2014

Abstract

Data centers have evolved dramatically in recent years, due to the advent of social networking services, e-commerce and cloud computing. The conflicting requirements are the high availability levels demanded against the low sustainability impact and cost values. The approaches that evaluate and optimize these requirements are essential to support designers of data center architectures. Our work aims to propose an integrated approach to estimate and optimize these issues with the support of the developed environment, Mercury. Mercury is a tool for dependability, performance and energy flow evaluation. The tool supports reliability block diagrams (RBD), stochastic Petri nets (SPNs), continuous-time Markov chains (CTMC) and energy flow (EFM) models. The EFM verifies the energy flow on data center architectures, taking into account the energy efficiency and power capacity that each device can provide (assuming power systems) or extract (considering cooling components). The EFM also estimates the sustainability impact and cost issues of data center architectures. Additionally, a methodology is also considered to support the modeling, evaluation and optimization processes. Two case studies are presented to illustrate the adopted methodology on data center power systems.
Keywords: sustainability; energy consumption; exergy; dependability; optimization sustainability; energy consumption; exergy; dependability; 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.

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MDPI and ACS Style

Callou, G.; Ferreira, J.; Maciel, P.; Tutsch, D.; Souza, R. An Integrated Modeling Approach to Evaluate and Optimize Data Center Sustainability, Dependability and Cost. Energies 2014, 7, 238-277.

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