Measurement of energy efficiency metrics of data centers. case study: higher education institution of Barranquilla
Data centers have become fundamental pillars of the network infrastructures of the various companies or entities regardless of their size. 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...
- Autores:
-
Hernandez, Leonel
Hernandez, Hugo
Orozco, Mario
Piñeres Espitia, Gabriel Dario
García Guiliany, Jesús Enrique
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7890
- Acceso en línea:
- https://hdl.handle.net/11323/7890
https://doi.org/10.1007/978-3-030-63319-6_3
https://repositorio.cuc.edu.co/
- Palabra clave:
- Energy
Green data centers
Performance metrics
Environment
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International
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Measurement of energy efficiency metrics of data centers. case study: higher education institution of Barranquilla |
| title |
Measurement of energy efficiency metrics of data centers. case study: higher education institution of Barranquilla |
| spellingShingle |
Measurement of energy efficiency metrics of data centers. case study: higher education institution of Barranquilla Energy Green data centers Performance metrics Environment |
| title_short |
Measurement of energy efficiency metrics of data centers. case study: higher education institution of Barranquilla |
| title_full |
Measurement of energy efficiency metrics of data centers. case study: higher education institution of Barranquilla |
| title_fullStr |
Measurement of energy efficiency metrics of data centers. case study: higher education institution of Barranquilla |
| title_full_unstemmed |
Measurement of energy efficiency metrics of data centers. case study: higher education institution of Barranquilla |
| title_sort |
Measurement of energy efficiency metrics of data centers. case study: higher education institution of Barranquilla |
| dc.creator.fl_str_mv |
Hernandez, Leonel Hernandez, Hugo Orozco, Mario Piñeres Espitia, Gabriel Dario García Guiliany, Jesús Enrique |
| dc.contributor.author.spa.fl_str_mv |
Hernandez, Leonel Hernandez, Hugo Orozco, Mario Piñeres Espitia, Gabriel Dario García Guiliany, Jesús Enrique |
| dc.subject.spa.fl_str_mv |
Energy Green data centers Performance metrics Environment |
| topic |
Energy Green data centers Performance metrics Environment |
| description |
Data centers have become fundamental pillars of the network infrastructures of the various companies or entities regardless of their size. 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 diverse and sophisticated technologies. The management and storage of this large volume of information make the data centers consume a lot of energy, generating great concern to owners and administrators. Green Data Center (GDC) is a solution for this problem, reducing the impact produced by the data centers in the environment through the monitoring and control of these and to the application of standards-based on metrics. Although each data center has its particularities and requirements, the metrics are the tools that allow us to measure the energy efficiency of the data center and evaluate if it is friendly to the environment (1.Adv. Intell. Syst. Comput. 574:329–340). The objective of the study is to calculate these metrics in the data centers of a Higher Education Institution in Barranquilla, on both campuses, and the analysis of these will be carried out. It is planned to extend this study by reviewing 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. The research methodology used for the development of the project is descriptive and no-experimental. |
| publishDate |
2020 |
| dc.date.issued.none.fl_str_mv |
2020-12-15 |
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2021-02-19T16:59:52Z |
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2021-02-19T16:59:52Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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https://doi.org/10.1007/978-3-030-63319-6_3 |
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Corporación Universidad de la Costa |
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Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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eng |
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eng |
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Hernandez, L., Jimenez, G.: 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. 574, 329–340 (2017) Baccour, E., Foufou, S., Hamila, R., Tari, Z., Zomaya, A.Y.: PTNet: an efficient and green data center network. J. Parallel Distrib. Comput. 107, 3–18 (2017) Obaidat, M., Ampalagan, A., Woungang, I., Zhang, Y., Ansari, N.: Handbook of Green Information and Communication Systems. Academic Press, Cambridge (2013) Bin, N., Nor, M., Hasan, M., Selamat, B.: Green data center frameworks and guidelines review 6, 338–343 (2014) Shehabi, A., et al.: United States Data Center Energy Usage Report. Lawrence Berkeley Natl. Lab. Berkeley, CA, Technical Report (2016) Hartmann, B., Farkas, C.: Energy efficient data centre infrastructure—development of a power loss model. Energy Build. 127, 692–699 (2016) Pierson, J.M.: Large-Scale Distributed Systems and Energy Efficiency: A Holistic View. Wiley, Hoboken (2015) Niles, S.: Virtualization: optimized power and cooling to maximize benefits. Am. Power Convers. White Pap. (2008) Jin, Y., Wen, Y., Chen, Q., Zhu, Z.: An empirical investigation of the impact of server virtualization on energy efficiency for green data center. Comput. J. 56(8), 977–990 (2013) Uddin, M., Rahman, A.A.: Energy efficiency and low carbon enabler green IT framework for data centers considering green metrics. Renew. Sustain. Energy Rev. 16(6), 4078–4094 (2012) Hernandez, R., Fernandez, C., Baptista, M.: Metodología de la investigación (2010) Aodbc.: Clasificación TIER en el Datacenter, el estándar ANSI/TIA-942 - Aodbc in the Cloud (2012). https://blog.aodbc.es/2012/07/10/clasificacion-tier-en-el-datacenter-el-estandar-ansitia-942/. Accessed 16 Apr 2020 Wang, L., Khan, S.U.: Review of performance metrics for green data centers: a taxonomy study. J. Supercomput. 63, 656 (2013) Sharma, M., Arunachalam, K., Sharma, D.: 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. 42, 142–148 (2015) Ray, P.P. .: A green initiative to data centers: a review, 1(4), 333–339 (2012) 42U Data Center Solutions. 42U Data Center Solutions (2018). https://www.42u.com/measurement/pue-dcie.htm. Fernández, P.: Las nuevas métricas de Green Grid para la eficiencia energética. Silicon (2009) Yuventi, J., Mehdizadeh, R.: A critical analysis of Power Usage Effectiveness and its use in communicating data center energy consumption. Energy Build. 64, 90–94 (2013) Lintner, W., Tschudi, B., VanGeet, O.: Best practices guide for energy-efficient data center design. In: U.S Department Energy, no. March, pp. 1–24 (2011) Dennis, B.: Five ways to reduce data center server power consumption. Green Grid 42, 12 (2009) Judge, J., Pouchet, J., Ekbote, A., Dixit, S.: Reducing data center energy consumption. ASHRAE J. 50(November), 14 (2008) Lei, H., Wang, R., Zhang, T., Liu, Y., Zha, Y.: A multi-objective co-evolutionary algorithm for energy-efficient scheduling on a green data center. Comput. Oper. Res. 75, 103–117 (2016) Hernandez, L., Calderon, Y., Martinez, H., Pranolo, A., Riyanto, I.: Design of a system for detection of environmental variables applied in data centers. In: Proceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era (2017) |
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Hernandez, LeonelHernandez, HugoOrozco, MarioPiñeres Espitia, Gabriel DarioGarcía Guiliany, Jesús Enrique2021-02-19T16:59:52Z2021-02-19T16:59:52Z2020-12-15https://hdl.handle.net/11323/7890https://doi.org/10.1007/978-3-030-63319-6_3Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Data centers have become fundamental pillars of the network infrastructures of the various companies or entities regardless of their size. 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 diverse and sophisticated technologies. The management and storage of this large volume of information make the data centers consume a lot of energy, generating great concern to owners and administrators. Green Data Center (GDC) is a solution for this problem, reducing the impact produced by the data centers in the environment through the monitoring and control of these and to the application of standards-based on metrics. Although each data center has its particularities and requirements, the metrics are the tools that allow us to measure the energy efficiency of the data center and evaluate if it is friendly to the environment (1.Adv. Intell. Syst. Comput. 574:329–340). The objective of the study is to calculate these metrics in the data centers of a Higher Education Institution in Barranquilla, on both campuses, and the analysis of these will be carried out. It is planned to extend this study by reviewing 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. The research methodology used for the development of the project is descriptive and no-experimental.Hernandez, Leonel-will be generated-orcid-0000-0002-3467-4797-600Hernandez, HugoOrozco, MarioPiñeres Espitia, Gabriel Dario-will be generated-orcid-0000-0002-8165-2697-600García Guiliany, Jesús Enrique-will be generated-orcid-0000-0003-3777-3667-600application/pdfengCorporación Universidad de la CostaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Advances in Intelligent Systems and Computinghttps://link.springer.com/chapter/10.1007/978-3-030-63319-6_3EnergyGreen data centersPerformance metricsEnvironmentMeasurement of energy efficiency metrics of data centers. case study: higher education institution of BarranquillaArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionHernandez, L., Jimenez, G.: 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. 574, 329–340 (2017)Baccour, E., Foufou, S., Hamila, R., Tari, Z., Zomaya, A.Y.: PTNet: an efficient and green data center network. J. Parallel Distrib. Comput. 107, 3–18 (2017)Obaidat, M., Ampalagan, A., Woungang, I., Zhang, Y., Ansari, N.: Handbook of Green Information and Communication Systems. Academic Press, Cambridge (2013)Bin, N., Nor, M., Hasan, M., Selamat, B.: Green data center frameworks and guidelines review 6, 338–343 (2014)Shehabi, A., et al.: United States Data Center Energy Usage Report. Lawrence Berkeley Natl. Lab. Berkeley, CA, Technical Report (2016)Hartmann, B., Farkas, C.: Energy efficient data centre infrastructure—development of a power loss model. Energy Build. 127, 692–699 (2016)Pierson, J.M.: Large-Scale Distributed Systems and Energy Efficiency: A Holistic View. Wiley, Hoboken (2015)Niles, S.: Virtualization: optimized power and cooling to maximize benefits. Am. Power Convers. White Pap. (2008)Jin, Y., Wen, Y., Chen, Q., Zhu, Z.: An empirical investigation of the impact of server virtualization on energy efficiency for green data center. Comput. J. 56(8), 977–990 (2013)Uddin, M., Rahman, A.A.: Energy efficiency and low carbon enabler green IT framework for data centers considering green metrics. Renew. Sustain. Energy Rev. 16(6), 4078–4094 (2012)Hernandez, R., Fernandez, C., Baptista, M.: Metodología de la investigación (2010)Aodbc.: Clasificación TIER en el Datacenter, el estándar ANSI/TIA-942 - Aodbc in the Cloud (2012). https://blog.aodbc.es/2012/07/10/clasificacion-tier-en-el-datacenter-el-estandar-ansitia-942/. Accessed 16 Apr 2020Wang, L., Khan, S.U.: Review of performance metrics for green data centers: a taxonomy study. J. Supercomput. 63, 656 (2013)Sharma, M., Arunachalam, K., Sharma, D.: 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. 42, 142–148 (2015)Ray, P.P. .: A green initiative to data centers: a review, 1(4), 333–339 (2012)42U Data Center Solutions. 42U Data Center Solutions (2018). https://www.42u.com/measurement/pue-dcie.htm.Fernández, P.: Las nuevas métricas de Green Grid para la eficiencia energética. Silicon (2009)Yuventi, J., Mehdizadeh, R.: A critical analysis of Power Usage Effectiveness and its use in communicating data center energy consumption. Energy Build. 64, 90–94 (2013)Lintner, W., Tschudi, B., VanGeet, O.: Best practices guide for energy-efficient data center design. In: U.S Department Energy, no. March, pp. 1–24 (2011)Dennis, B.: Five ways to reduce data center server power consumption. Green Grid 42, 12 (2009)Judge, J., Pouchet, J., Ekbote, A., Dixit, S.: Reducing data center energy consumption. ASHRAE J. 50(November), 14 (2008)Lei, H., Wang, R., Zhang, T., Liu, Y., Zha, Y.: A multi-objective co-evolutionary algorithm for energy-efficient scheduling on a green data center. Comput. Oper. Res. 75, 103–117 (2016)Hernandez, L., Calderon, Y., Martinez, H., Pranolo, A., Riyanto, I.: Design of a system for detection of environmental variables applied in data centers. 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