Publicado

2021-08-24

Design, implementation, and testing of an energy consumption management system applied in Internet protocol data networks

Diseño, implementación y prueba de un sistema de gestión del consumo de energía aplicado en redes de datos IP.

DOI:

https://doi.org/10.15446/dyna.v88n218.85961

Palabras clave:

goods;, networks and services;, RFC-7460;, energywise;, simple network management protocol;, OID;, management;, energetic management: (en)
GNS;, bienes;, redes y servicios;, RFC-7460;, energywise;, SNMP;, OID;, gestión;, EM (gestión energética): (es)

Autores/as

To model the power measurement conditions of an energy system, an initial reference should be made within the specification of a generic energy consumption (EC) model. This EC model is based on the energy state of a system comprising goods, networks, and services, which supports energy management capabilities. Therefore, a prototype tool to record power consumption (PC) at the device level is designed and implemented, thereby enabling devise use optimization. The core is to collect energy-related information in internet protocol networks that support the simple network management protocol, in addition to the standard proposed in RFC-7460, and the green information technology. The information obtained is related to the energy consumed by devices that support those technologies. Then, the information is processed to evaluate different PC characteristics of the network. This research impacts the knowledge gap of information system management, where the objective sought is to establish metrics and methodological schemes for obtaining data regarding measurable behaviors in the EC field

Para modelar las condiciones de medición de potencia de un sistema energético, se requiere una referencia inicial hecha dentro de la especificación de un modelo genérico de consumo de energía. Este modelo de consumo se basa en el estado energético de un sistema compuesto por Bienes, Redes y Servicios (GNS), que soporta las capacidades de gestión energética. Para ello, se diseñó e implementó una herramienta proto-tipo para registrar el consumo de energía a nivel de dispositivo, lo que permitirá optimizar su uso. La idea principal es recopilar información relacionada con la energía en redes IP que admitan el protocolo SNMP, además del estándar propuesto en RFC-7460, y la tecnología verde de TI. La información obtenida está relacionada con la energía consumida de los dispositivos que soportan esas tecnologías. Luego, esta información se procesa para evaluar diferentes características de consumo de energía de la red. La brecha de conocimiento que impacta esta investigación es la de la gestión de sistemas de información, donde los objetivos que se persiguen son establecer métricas y esquemas metodológicos para la adquisición de datos sobre comportamientos medibles en el ámbito del consumo energético.

Referencias

Arciniegas-Herrera, J.L. and Vélez-Varela, F., Arquitecturas de gestión de redes y servicios de telecomunicaciones. En: II Jornadas de aplicaciones y usabilidad de la TVDi. IIIWorkshop TVDi Webmedia.Universidad Nacional de La Plata, Argentina

Arora, K.G., Kohli, G. and Ratta, P., Green computing–trends and challenges. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 4, pp. 326-329, 2018.

Bazarhanova, A., Kor A. and Pattinson, C., A belief rule-based environmental responsibility assessment for small and medium-sized enterprise, in: Future Technologies Conference (FTC), San Francisco, CA, USA, 2016. pp. 637-643.

Chandramouli, M., Claise, B., Schoening, B., Quittek, J. and Dietz, T., RFC 7460: Monitoring and control MIB for power and energy. Internet Engineering Task Force, 2015.

Cisco Systems, and EnergyWise, Energy management data sheet. [online]. 2018 [Consulted January 14th of 2018]| Available at:https://www.cisco.com/c/en/us/products/collateral/switches/energywise-discovery-service/data-sheet-c78-729774.html

Dumitrescu, C. and Pleşca, A. Overview on energy efficiency parameters in data centers, in: International Conference and Exposition on Electricaland Power Engineering (EPE), Iasi, 2016, pp. 153-156.

ETNO Project. Annual Report 2017. Energy task team, European Telecommunications Networks Operator’s Association, 2018.

Gartner. Successful IT transformation through structured program management, 2016.

Gelenbe, E. and Caseau, Y., The impact of information technology on energy consumption and carbon emissions. Ubiquity 2015, June, 2015.

Green Grid Project. Recommendations for measuring and reporting overall data center efficiency; Version 1 – Measuring PUE at Dedicated Data Centers, 2015.

ITU-T, L1300. Recommendation: best practices for green data centers. 2014.

ITU-T, L1301. Recommendation: minimum data set and communication interface requirements for data center energy management. 2015.

ITU-T, L1310. Recommendation: energy efficiency metrics and measurement methods for telecommunication equipment. 2014.

ITU-T, L1320. Recommendation: energy efficiency metrics and measurement for power and cooling equipment for telecommunications and data centers. 2014.

ITU-T, L1320. Recommendation: reference operational model and interface for improving energy efficiency of ICT network hosts. 2015.

ITU-T, L1400. Recommendation: overview and general principles of methodologies for assessing the environmental impact of information and communication technologies. 2011.

ITU-T, L1410. Recommendation: methodology for environmental impact assessment of information and communication technologies goods, networks and services. 2012.

ITU-T, L1420. Recommendation: methodology for energy consumption and greenhouse gas emissions impact assessment of information and communication technologies in organizations. 2012.

Parisio, A. Rikos, E. and Glielmo, L., Stochastic model predictive control for economic/environmental operation management of microgrids: an experimental case study. Journal of Process Control. 43, pp. 24-37, 2016.

Schoening, B., Chandramouli, M. and Nordman, B., RFC 7603: Energy Management (EMAN) Applicability Statement. Internet Engineering Task Force, 2015.

The Green Grid. Key challenges impacting data center energy and resource efficiency, 2016.

Wagner, E., Benecke, S., Winzer, J., Nissen, N.F. and Lang, K., Evaluation of indicators supporting the sustainable design of electronic systems. Procedia CIRP, 40, pp. 469-474, 2016.

Xiao, Y. and Krunz, M., QoE and power efficiency tradeoff for fog computing networks with fog node cooperation. IEEE INFOCOM 2017- IEEE Conference on Computer Communications, Atlanta, GA, USA,2018. pp. 1-9.

Zhang, Y. and Ansari, N., HERO: Hierarchical energy optimization for data center Networks. IEEE Systems Journal, 9(2), pp. 406-415, 2015.

Zhang, Y. and Ansari, N., Smart grid networks: a state of the art review, in: 2015 International Conference on Signal Processing and Communication (ICSC), 2015, pp. 122-126, DOI: 10.1109/ICSPCom.2015.7150632.

Aman, S., Simmhan, Y. and Prasanna, V.K., Energy management systems: state of the art and emerging trends, in: IEEE Communications Magazine, 51(1), pp. 114-119, 2013. DOI:10.1109/MCOM.2013.6400447.

Lu, B. and Gungor, V.C., Online and remote motor energy monitoring and fault diagnostics using wireless sensor networks, in: IEEE Transactions on Industrial Electronics, 56(11), pp. 4651-4659. 2009, DOI: 10.1109/TIE.2009.2028349.

Hauser, C.H., Bakken, D.E. and Bose, A., A failure to communicate: next generation communication requirements, technologies, and architecture for the electric power grid, in: IEEE Power and Energy Magazine, 3(2), pp. 47-55, March-April 2005. DOI: 10.1109/MPAE.2005.1405870.

Lo Bello, L., Mirabella, O. and Raucea, A., Design and implementation of an educational testbed for experiencing with industrial communication Networks, in: IEEE Transactions on Industrial Electronics, 54(6), pp. 3122-3133, Dec. 2007. DOI: 10.1109/TIE.2007.907025.

Liu, E., Chan, M.L., Huang, C.W., Wang, N.C. and Lu, C.N., Electricity grid operation and planning related benefits of advanced metering infrastructure, in: 2010 5th International Conference on Critical Infrastructure (CRIS), 2010, pp. 1-5. DOI: 10.1109/CRIS.2010.5617583.

Cómo citar

IEEE

[1]
F. Velez Varela, D. F. Marin Lozano, y M. O. Sarria Paja, «Design, implementation, and testing of an energy consumption management system applied in Internet protocol data networks», DYNA, vol. 88, n.º 218, pp. 159–167, jul. 2021.

ACM

[1]
Velez Varela, F., Marin Lozano, D.F. y Sarria Paja, M.O. 2021. Design, implementation, and testing of an energy consumption management system applied in Internet protocol data networks. DYNA. 88, 218 (jul. 2021), 159–167. DOI:https://doi.org/10.15446/dyna.v88n218.85961.

ACS

(1)
Velez Varela, F.; Marin Lozano, D. F.; Sarria Paja, M. O. Design, implementation, and testing of an energy consumption management system applied in Internet protocol data networks. DYNA 2021, 88, 159-167.

APA

Velez Varela, F., Marin Lozano, D. F. & Sarria Paja, M. O. (2021). Design, implementation, and testing of an energy consumption management system applied in Internet protocol data networks. DYNA, 88(218), 159–167. https://doi.org/10.15446/dyna.v88n218.85961

ABNT

VELEZ VARELA, F.; MARIN LOZANO, D. F.; SARRIA PAJA, M. O. Design, implementation, and testing of an energy consumption management system applied in Internet protocol data networks. DYNA, [S. l.], v. 88, n. 218, p. 159–167, 2021. DOI: 10.15446/dyna.v88n218.85961. Disponível em: https://revistas.unal.edu.co/index.php/dyna/article/view/85961. Acesso em: 7 mar. 2026.

Chicago

Velez Varela, Fernando, Diego Fernando Marin Lozano, y Miton Orlando Sarria Paja. 2021. «Design, implementation, and testing of an energy consumption management system applied in Internet protocol data networks». DYNA 88 (218):159-67. https://doi.org/10.15446/dyna.v88n218.85961.

Harvard

Velez Varela, F., Marin Lozano, D. F. y Sarria Paja, M. O. (2021) «Design, implementation, and testing of an energy consumption management system applied in Internet protocol data networks», DYNA, 88(218), pp. 159–167. doi: 10.15446/dyna.v88n218.85961.

MLA

Velez Varela, F., D. F. Marin Lozano, y M. O. Sarria Paja. «Design, implementation, and testing of an energy consumption management system applied in Internet protocol data networks». DYNA, vol. 88, n.º 218, julio de 2021, pp. 159-67, doi:10.15446/dyna.v88n218.85961.

Turabian

Velez Varela, Fernando, Diego Fernando Marin Lozano, y Miton Orlando Sarria Paja. «Design, implementation, and testing of an energy consumption management system applied in Internet protocol data networks». DYNA 88, no. 218 (julio 28, 2021): 159–167. Accedido marzo 7, 2026. https://revistas.unal.edu.co/index.php/dyna/article/view/85961.

Vancouver

1.
Velez Varela F, Marin Lozano DF, Sarria Paja MO. Design, implementation, and testing of an energy consumption management system applied in Internet protocol data networks. DYNA [Internet]. 28 de julio de 2021 [citado 7 de marzo de 2026];88(218):159-67. Disponible en: https://revistas.unal.edu.co/index.php/dyna/article/view/85961

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CrossRef citations1

1. Mutiu Shola Bakare, Abubakar Abdulkarim, Aliyu Nuhu Shuaibu, Mundu Mustafa Muhamad. (2024). Energy management controllers: strategies, coordination, and applications. Energy Informatics, 7(1) https://doi.org/10.1186/s42162-024-00357-9.

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