Email this article Energy Efficiency Metrics of University Data Centers
Abstract
The data centers are fundamental pieces in the network and computing infrastructure, and evidently today more than ever they are relevant. Since they support the processing, analysis, assurance of the data generated in the network and by the applications in the cloud, which every day increases its volume thanks to technologies such as Internet of Things, Virtualization, and cloud computing, among others. Precisely the management of this large volume of information makes the data centers consume a lot of energy, generating great concern to owners and administrators. Green Data Centers offer a solution to this problem, reducing the impact produced by the data centers in the environment, through the monitoring and control of these. The metrics are the tools that allow us to measure in our case the energy efficiency of the data center and evaluate if it is friendly to the environment. These metrics will be applied to the data centers of the ITSA University Institution, Barranquilla and Soledad campus, and the analysis of these will be carried out. In previous research, the most common metric (PUE) was analyzed to measure the efficiency of the data centers, to verify if the University's data center is friendly to the environment. It is planned to extend this study by carrying out an analysis of several metrics to conclude which is the most efficient and which allows defining the guidelines to update or convert the data center in a friendly environment.
Full Text:
PDFReferences
E. Baccour, S. Foufou, R. Hamila, Z. Tari, and A. Y. Zomaya, “PTNet: An efficient and green data center network,” J. Parallel Distrib. Comput., vol. 107, pp. 3–18, Sep. 2017.
M. S. Obaidat, A. Anpalagan, I. Woungang, Y. Zhang, and N. Ansari, “Green Data Centers,” in Handbook of Green Information and Communication Systems, Academic Press, 2013, pp. 331–352.
L. Hernandez and G. Jimenez, “Characterization of the current conditions of the itsa data centers according to standards of the green data centers friendly to the environment,” Adv. Intell. Syst. Comput., vol. 574, pp. 329–340, 2017.
J.-M. Pierson, Large-scale Distributed Systems and Energy Efficiency: A Holistic View, Reimpresa. New Jersey, 2015.
A. Shehabi, S. J. Smith, N. Horner, I. Azevedo, R. Brown, J. Koomey, E. Masanet, D. Sartor, M. Herrlin, and W. Lintner, “United States Data Center Energy Usage Report,” 2016.
L. Hernandez, A. Pranolo, I. Riyanto, Y. Calderon, and H. Martinez, “Design of a System for Detection of Environmental Variables Applied in Data Centers,” in 2017 3rd International Conference on Science in Information Technology (ICSI Tech 2017), 2017, pp. 389–395.
R. Hernandez Sampieri, C. Fernandez Collado, and M. del P. Baptista Lucio, Metodología de la investigación. 2010.
Wang and S. U. Khan, “Review of performance metrics for green data centers: A taxonomy study,” J. Supercomput., vol. 63, no. 3, pp. 639–656, 2013.
M. Sharma, K. Arunachalam, and D. Sharma, “Analyzing the Data Center Efficiency by Using PUE to Make Data Centers More Energy Efficient by Reducing the Electrical Consumption and Exploring New Strategies,” Procedia Comput. Sci., vol. 48, pp. 142–148, Jan. 2015.
42U Data Center Solutions, “42U Data Center Solutions,” 2018. [Online]. Available: https://www.42u.com/measurement/pue-dcie.htm. [Accessed: 21-Jul-2018].
Pablo Fernández, “Las nuevas métricas de Green Grid para la eficiencia energética,” Silicon, Mar-2009.
EPA, “Report to Congress on Server and Data Center Energy Efficiency Public Law 109-431,” Berkeley, California, 2007.
J. Yuventi and R. Mehdizadeh, “A critical analysis of Power Usage Effectiveness and its use in communicating data center energy consumption,” Energy Build., vol. 64, pp. 90–94, Sep. 2013
W. Lintner, B. Tschudi, and O. VanGeet, “Best Practices Guide for Energy-Efficient Data Center Design,” U.S Dep. Energy, no. March, p. i-24, 2011.
B. Dennis, “Five Ways to Reduce Data Center Server Power Consumption,” Green Grid, 2009.
J. Judge, J. Pouchet, A. Ekbote, and S. Dixit, “Reducing data center energy consumption,” ASHRAE J., vol. 50, no. November, 2008.
DOI: http://dx.doi.org/10.17977/um018v1i22018p64-73
Refbacks
- There are currently no refbacks.
Copyright (c) 2018 Knowledge Engineering and Data Science
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.