Las Tecnologías de la Información y de las Comunicaciones como parte del problema y de la solución del consumo energético

  1. Alberto Prieto 1
  2. Beatriz Prieto 1
  1. 1 Universidad de Granada
    info

    Universidad de Granada

    Granada, España

    ROR https://ror.org/04njjy449

Revista:
Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI)
  1. Cruz Lemus, José Antonio (coord.)
  2. Medina Medina, Nuria (coord.)
  3. Rodríguez Fortiz, María José (coord.)

ISSN: 2531-0607

Año de publicación: 2023

Título del ejemplar: Actas de las XXIX Jornadas sobre la Enseñanza Universitaria de la Informática. Granada, del 5 al 7 de julio de 2023

Número: 8

Páginas: 9-23

Tipo: Artículo

Otras publicaciones en: Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI)

Resumen

En el presente trabajo se describe la contribución, tanto negativa como positiva, de las Tecnologías de la Información y de las Comunicaciones (TIC) en el incremento del consumo de energía eléctrica y, en consecuencia, sus efectos medioambientales. Se incluye un análisis sobre la evolución y las tendencias del consumo global de las TIC, se define el límite inferior teórico del coste energético del procesamiento por bit de información, y se presentan estimaciones del consumo medio real, tanto por procesamiento como por transmisión a través de redes de datos. También se enumeran los frentes abiertos para paliar el problema. Se hace hincapié en que, para contribuir beneficiosamente a reducir el aumento del consumo energético debe considerarse como parámetro fundamental la eficiencia energética y, al hacer los diseños y evaluaciones de los sistemas informáticos, no hay que centrarse sólo en el tiempo de ejecución, la precisión de los resultados y la comodidad de la interfaz de usuario. Es responsabilidad del profesorado universitario transmitir estos conocimientos y concienciar del problema a los futuros profesionales dentro de los planes de estudio y las materias correspondientes.

Referencias bibliográficas

  • A.S. Andrae y T. Edler. (2015). On global electricity usage of communication technology: trends to 2030. Challenges, 6(1), 117-157. https://doi.org/10.3390/challe6010117
  • A.S. Andrae (2019). Comparison of several simplistic high-level approaches for estimating the global energy and electricity use of ICT networks and data centers. International Journal, 5, 51. DOI: 10.30634/2414-2077.2019.05.06.
  • J. Aslan, K. Mayers, J. G. Koomey y C. France. (2018). Electricity intensity of internet data transmission: Untangling the estimates. Journal of industrial ecology, 22(4), 785-798.
  • M. Avgerinou, P. Bertoldi y L. Castellazzi. (2017). Trends in data centre energy consumption under the european code of conduct for data centre energy efficiency. Energies, 10(10), 1470. https://doi .org /10 .2760 /358256
  • E. Borba, E. Tavares, P. Maciel (2022). A modeling approach for estimating performance and energy consumption of storage systems. Journal of Computer and System Sciences, 128, 86-106.
  • F. Bordage. (2019). The environmental footprint of the digital World. GreenIT: France.https://www.greenit.fr/wpcontent/uploads/2019/11/GREENIT_EENM_etude_EN_accessible.pdf
  • A. Burgess, T. Brown. By 2040 there may not be enough power for all our computers, Manufacturer, https://www.themanufacturer.com/articles/by-2040-there-may-not-be-enoughpower-for-all-our-computers/ , 17 Aug 2016.
  • R. K. Cavin, V. V. Zhirnov, D. J. C. Herr, A. Avila and J. Hutchby, J. Nanopart. Res. 8, 841 (2006)
  • Cisco VNI Global IP Traffic Forecast, 2017-2022.
  • S. Cui, A. J. Goldsmith y A. Bahai. (2005). Energy-constrained modulation optimization. IEEE transactions on wireless communications, 4(5), 2349-2360.
  • J. Desjardins. (2018). What happens in an internet minute in 2018. Visual Capitalist.https://www. visualcapitalist. com/internetminute-2018.
  • A. Despotuli y A. Andreeva. (2009). A short review on deep-sub-voltage nanoelectronics and related technologies. International Journal of Nanoscience, 8(04n05), 389-402. DOI: 10.1142/S0219581X09006328
  • A. Díaz, J. Lopera, J. J. Escobar, M. A. López, J. González y M. Damas, M. (2017). Consumo de energía y asignaturas de arquitectura y tecnología de computadores. Enseñanza y aprendizaje de ingeniería de computadores: Revista de Experiencias Docentes en Ingeniería de Computadores, (7), 79-92.Prieto y Prieto: Las Tecnologías de la Información y de las Comunicaciones como parte del problema y de lasolución del consumo energético 21
  • European Commission, 2030 climate & energy framework. https://ec.europa.eu/clima/eu-action/climate-strategies-targets/2030-climate-energy-framework_en
  • Federal Ministry for Economic Affairs and Climate Action. Information and communication technologies consume 15% less electricity due to improved energy efficiency. https://www.bmwi.de/Redaktion/EN/Pressemitteilungen/2015/20151210-gabriel-studie-strombedarf-ikt.html (2015).
  • Federal Ministry for Economic Affairs. Development of ICT-Related Electricity Demand in Germany (Report in German). 2015. https://www.bmwi.de/Navigation/DE/Home/home.html.
  • C. Freitag, M. Berners-Lee, K. Widdicks, B. Knowles, G. Blair, A. Friday. The climate impact of ICT: A review of estimates, trends and regulations. arXiv preprint arXiv:2102.02622. (2022).
  • GeSI. Global e-Sustainability Initiative. Accenture strategy SMARTer2030-ICT solutions. (2015) https://smarter2030.gesi.org/downloads/Full_report.pdf
  • A. Gonzalez, J. R. Riba, A. Rius y R. Puig. (2015). Optimal sizing of a hybrid grid-connected photovoltaic and wind power system. Applied energy, 154, 752-762.
  • Google Data Centers. Hamina, Finland. A White Surprise. https://www.google.com/about/datacenters/locations/hamina/
  • A. Haldar y N. Sethi. (2022). Environmental effects of Information and Communication Technology-Exploring the roles of renewable energy, innovation, trade and financial development. Renewable and Sustainable Energy Reviews, 153, 111754.
  • N. Hamdi, C. Walid. A survey on energy aware VM consolidation strategies. Sustain. Comput.Inform. Syst. 2019, 23, 80–87. [CrossRef]
  • S. Herculano-Houzel. (2009) The human brain in numbers: a linearly scaled-up primate brain. Frontiers in human neuroscience, 31.
  • M. Hilbert y P. Lopez, “The world's technological capacity to store, communicate, and compute information,” Science 332 (2011) 60-65
  • K. Hinton, J. Baliga, R. Ayre y R. S. Tucker. (2009, July). The future Internet-An energy consumption perspective. In 2009 14th OptoElectronics and Communications Conference (pp. 1-2). IEEE.
  • IBM (2022) Learn how green computing reduces energy consumption https://www.ibm.com/cloud/blog/greencomputing#:~:text=Green%20computing%20(also%20known%20as,consumed%20by%20manufacturers%2C%20data%20centers
  • IBM (2021). IBM and Samsung Unveil Semiconductor Breakthrough That Defies Conventional Design (2021). https://newsroom.ibm.com/2021-12-14-IBMand-Samsung-Unveil-Semiconductor-Breakthrough-That-Defies-Conventional-Design
  • IEA. International Energy Agency (2017) Digitalization & Energy Report. https://iea.blob.core.windows.net/assets/b1e6600c-4e40-4d9c-809d1d1724c763d5/DigitalizationandEnergy3.pdf
  • IEEE/ACM Computer Engineering Curricula 2016: http://www.acm.org/education/curricula-recommendati
  • IEEE/ACM Computer Science Curricula 2013: http://www.acm.org/education/curricularecommendations.
  • IEEE/ACM Computer Science Curricula 2013: http://www.acm.org/education/curricularecommendations.
  • R. Landauer, R. (1961). Irreversibility and heat generation in the computing process. IBM journal of research and development, 5(3), 183-191.
  • N. Iimura, N. Nishikawa, M. Nakano y M. Oguchi. (2015, January). A proposal of storage power control method with data placement in an environment using many hdds. In Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication (pp. 1-8).
  • S.W. Keckler, W.J. Dally, B. Khailany, M. Garland y D. Glasco. Gpus and the future of parallel computing. Micro, IEEE, 31(5):7–17, 2011.
  • I. Kelényi, J. K. Nurminen, Á. Ludányi y T. Lukovszki. (2012). Modeling resource constrained BitTorrent proxies for energy efficient mobile content sharing. Peer-to-Peer Networking and Applications, 5(2), 163-177.
  • L. B. Kish. (2006). Thermal noise driven computing. Applied Physics Letters, 89(14), 144104.
  • J. Koomey, S. Naffziger. (2015). Moore’s Law might be slowing down, but not energy efficiency. IEEE spectrum, 52(4), 35.22 Actas de las Jenui, vol. 8. 2023. Conferencia inaugural
  • J. Koomey, S. Berard, M. Sanchezn y H. Wong. (2010). Implications of historical trends in the electrical efficiency of computing. IEEE Annals of the History of Computing, 33(3), 46-54.
  • K. Kumar, Y. H. Lu. (210) Cloud computing for mobile users: Can offloading computation save energy? Computer, 43, 51–56.
  • D. Landré, J. M. Nicod y V. Christophe. (2020). Optimal standalone data centre renewable power supply using an offline optimization approach. Sustain. Comput. Inform., 34, 100627.
  • J. Malmodin y D. Lundén. (2018). The energy and carbon footprint of the global ICT and E&M sectors 2010–2015. Sustainability, 10(9), 3027.
  • M. Manganelli, A. Soldati, L. Martirano, S. Ramakrishna. (2021). Strategies for improving the sustainability of data centers via energy mix, energy conservation, and circular energy. Sustainability, 13(11), 6114.
  • D. McMorrow. (Abril 2013). Technical Challenges of Exascale Computing, JSR-12-310, JASON, MITRE Corporation.
  • Microsoft, Proyecto Natick, https://natick.research.microsoft.com/
  • G. E. Moore. (1965): Cramming more components into integrated circuits. Archivado el 6 de octubre de 2014 en Wayback Machine., artículo en inglés en la revista Electronics, volumen 38, n.º 8; 19 de abril de 1995
  • A. S. Mutschler. (2021). Designing Low Energy Chips and Systems. Semiconductor Engineering, February 1st. https://semiengineering.com/designing-for-low-energy/
  • B. Nordman y S. Lanzisera (2011, Enero). Electronics and network energy use: Status and prospects. In 2011 IEEE International Conference on Consumer Electronics (ICCE) (pp. 245 246). IEEE.
  • J. K. Nurminen. (2010) Parallel connections and their effect on thebattery consumption of a mobile phone. In Proc. of 7th IEEECCNC, Las Vegas, USA
  • V. F. Pavlidis y E. G. Friedman. (2009). Interconnect-based design methodologies for three-dimensional integrated circuits. Proceedings of the IEEE, 97(1), 123-140.
  • B. Prieto, J. J. Escobar, J. C. Gómez-López, A. F. Díaz y T. Lampert. (2022). Energy Efficiency of Personal Computers: A Comparative Analysis. Sustainability, 14(19), 12829.
  • F. Roccaforte, F. Giannazzo y G. Greco. (2022, enero). Ion Implantation Doping in Silicon Carbide and Gallium Nitride Electronic Devices. Micro 2(1) pp. 23-53).
  • Semiconductor Industry Association and the Semiconductor Research Corporation, Rebooting the IT Revolution: A Call 547 to Action. (2015).https://www.semiconductors.org/wp-content/uploads/2018/06/RITR-WEB-versionFINAL.pdf.
  • A Shehabi, S Smith, D Sartor, R Brown, M Herrlin, J. G. Koomey, E.R. Masanet, N. Horner, I.L. Azevedo, W. Lintner. (2016) United States Data Center Energy Usage Report. Berkeley Lab. https://eta.lbl.gov/publications/unitedstates-data-center-energy.
  • S. Singhal, P. Sharma, R. K. Aggarwal y V. Passricha. (2018). A global survey on data deduplication. International Journal of Grid and High Performance Computing (IJGHPC), 10(4), 43-66.
  • J. Tai, B. Sheng, Y. Yao y N. Mi. (2014, Marzo). Live data migration for reducing sla violations in multi-tiered storage systems. In 2014 IEEE International Conference on Cloud Engineering (pp. 361-366). IEEE.
  • W. Tushar, C. Yuen, D. H. Smith y H. V. Poor. (2016). Price discrimination for energy trading in smart grid: A game theoretic approach. IEEE Transactions on Smart Grid, 8(4), 1790-1801.
  • B. Urban, V. Shmakova, B. Lim, K. Roth. (2014). Energy Consumption of Consumer Electronics in US Report to the CEA. Fraunhofer USA Center for Sustainable Energy Systems: Boston, MA, USA.
  • T. Wei. (2020). A cool design for hot microchips. Nature, 585(7824), 188-189.
  • S. Yin, X. Li, K. Li, J. Huang, X. Ruan, X. Zhu, ... Y X. Qin. (2015, September). Reed: A reliable energy-efficient raid. In 2015 44th International Conference on Parallel Processing (pp. 649-658). IEEE.
  • V. Zhirnov, R. Cavin y L. Gammaitoni. (2014). Minimum energy of computing, fundamental considerations. In ICT-Energy-Concepts Towards Zero-Power Information and Communication Technology. IntechOpen