Erol Gelenbe
Yves Caseau
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Abstract
In this article the authors evaluate the impact of different sectors of information and communication technologies (ICT) on energy consumption and CO2 emissions. ICT is understood to cover computer and peripheral equipment including local area networks, telecommunication equipment and networks, and data centers.
- Gelenbe, E. Sensible decisions based on QoS. Computational Management Science 1, 1 (2003), 1--14.Google Scholar
Cross Ref
- Gelenbe, E. The first decade of G-networks. European Journal of Operational Research 126, 2 (2000), 231--232.Google ScholarCross Ref
- Gelenbe, E., Khaled, H., and Kaptan, V. Simulating autonomous agents in augmented reality. Journal of Systems and Software 74, 3 (2005), 255--268. Google ScholarDigital Library
- Fettweis, G. and Zimmermann, E. ICT energy consumption --- trends and challenges. The 11th International Symposium on Wireless Personal Multimedia Communications (WPMC 2008), Finnish Lapland, Sep. 8--11, 2008.Google Scholar
- Erol-Kantarci, M. and Mouftah, H.T. Energy-efficient information and communication infrastructures in the Smart Grid: A survey on interactions and open issues. Communications Surveys and Tutorials. IEEE. 2014. DOI: 10.1109/COMST.2014.2341600.Google ScholarDigital Library
- The EINS Consortium. Overview of ICT energy consumption (D8.1). Report FP7-2888021. European Network of Excellence in Internet Science. February 2013.Google Scholar
- Van Heddeghem, W., Lambert, S., Lanoo, B., Colle, D., Pickavet, M., and Demeester, P. Trends in worldwide ICT electricity consumption from 2007 to 2012. Computer Communications 50 (2014), 64--76. Google ScholarDigital Library
- 2012 Key World Energy Statistics. International Energy Agency. 2012.Google Scholar
- Gartner, Inc. Gartner Estimates (ICT) Industry Accounts for 2 Percent of Global CO2 Emissions. Gartner. April 26, 2007.Google Scholar
- Comparison of Lifecycle GreenHouse Gas Emissions of Various Electricity Generation Sources. Word Nuclear Association. July 2011.Google Scholar
- Breuil, H., Burette, D., Flüry-Herard, B., Cueugniet, J., and Vignolles, D. Rapport TIC et Développement Durable. December 2008.Google Scholar
- Hilty, L M., Coroama, V., Ossés de Eicker, M., Ruddy, T. F., and Müller, E. The Role of ICT in Energy Consumption and Energy Efficiency. Project FP7-ICT-2007-2, ICT-Ensure. EMPA. 2009.Google Scholar
- Koomey, J.G. Growth in Data Center Electricity Use 2005 to 2010. Oakland, CA, Analytics Press. August 1, 2011.Google Scholar
- Gelenbe, E. Synchronising energy harvesting and data packets in a wireless sensor. Energies 8, 1 (2015), 356--369.Google ScholarCross Ref
- Gelenbe, E. and Ceran, Elif Tugce. Central or distributed energy storage for processors with energy harvesting. In Proceedings of 4th IFIP Conference on Sustainable Internet and ICT for Sustainability 2015 (SustainIT'15), Madrid, Spain, April 2015.Google ScholarCross Ref
- Koomey, J., Berard, S., Sanchez, M. and Wong, H. Implications of historical trends in the electrical efficiency of computing. Annals of the History of Computing 33, 3 (2011), 46--54. Google ScholarDigital Library
- World Wildlife Forum. The potential global CO2 reductions from ICT use. WWF. March 2008.Google Scholar
- Global e-Sustainability Initiative (GeSI) and Boston Consulting Group (BCG). GeSI SMARTer 2020: The Role of ICT in Driving a Sustainable Future. December 2012;Google Scholar
- Gland, J. Google Details, and Defends, its use of Electricity. New York Times. September 8, 2011.Google Scholar
- Feng, W., and Elmirghani, J.M.H. Green ICT: Energy efficiency in a motorway model. Third International Conference on next generation mobile applications, services and technologies (NGMAST '09). 2009, 389--394. Google ScholarDigital Library
- Alternative Fuel Data Center. Annual Vehicle Miles Traveled in the U. S. U.S. Department of Energy. June 2014.Google Scholar
- Spivak, M., and Schoettele, B. Recent Changes in the Age Composition of Drivers in 15 Countries. University of Michigan Transportation Research Center. October 2011.Google Scholar
- Table 4-23: Average Fuel Efficiency of U.S. Light Duty Vehicles. National Transportation Statistics. Bureau of Transportation Statistics. United States Department of Transportation. 2015.Google Scholar
- Short, D. Vehicle Miles Traveled: A New Look at Our Evolving Behavior. May 21, 2015.Google Scholar
- Gelenbe, E., and Lent, R. Trade-offs between energy and quality of service SustainIT 2012 (Pisa, Italy). IEEE, 2012, 1--5.Google Scholar
- Gelenbe, E., and Lent, R. Energy-QoS Trade-Offs in mobile service selection. Future Internet 5, 2 (2013), 128--139.Google ScholarCross Ref
- Sakellari, G., Morfopoulou, C., Mahmoodi, T., and Gelenbe, E. Using energy criteria to admit flows in a wired network. ISCIS 2012 (Paris). Spinger, 2013, 63--72,Google ScholarCross Ref
- Gelenbe, E., and Morfopoulou, C. A Framework for Energy-Aware Routing in Packet Networks. Comput. J. 54, 6 (2011), 850--859. Google ScholarDigital Library
- Gelenbe, E., Gündüz, D., Kulah, H., and Uysal-Biyikoglu, E. Energy Harvesting Communication Networks: Optimization and Demonstration --- The E-CROPS Project. 24th TIWDC 2013 "Green ICT." IEEEXplore. Sept. 23--25, 2013, Genoa, Italy.Google ScholarCross Ref
- Aupy, G., Benoit, A., Dufossé, F., and Robert, Y. Reclaiming the energy of a schedule: models and algorithms. Concurrency and Computation: Practice and Experience 25, 11 (2013), 1505--1523.Google ScholarCross Ref
- Diouri, M., Tsafack Chetsa, G., Glück, O., Lefevre, L., Pierson, J.-L., Stolf, P., and Da Costa, G. Energy efficiency in HPC with and without knowledge on applications and services. International Journal of High Performance Computing Applications. 27 (2013), 232--243. Google ScholarDigital Library
- Orgerie, A.-C., Dias de Assunção, M., and Lefèvre, L. A Survey on Techniques for Improving the Energy Efficiency of Large Scale Distributed Systems. ACM Computing Surveys 46, 4 (2014). Google ScholarDigital Library
- Gelenbe, E. Energy packet networks: smart electricity storage to meet surges in demand. In Proceedings of the 5th International ICST Conference on Simulation Tools and Techniques (SimuTools 2012). ICST, Brussels, Belgium, 2012, 1--7. Google ScholarDigital Library
- Sakai, K., and Okabe, Y. Quality-aware energy routing toward on-demand home energy networking. In Proceedings of 2011 IEEE Consumer Communications and Network Conference (Las Vegas, 9--12 Jan.) IEEE, 2011, 1041--1044.Google ScholarCross Ref
- Takahashi, R., Takuno, T., and Hikihara, T. Estimation of power packet transfer properties on indoor Power Line channel. Energies 5, 7 (2012) 2141--2149;.doi:10.3390/en5072141Google ScholarCross Ref
- Gelenbe, E., and Fourneau, J.-M. Random neural networks with multiple classes of signals. Neural Computation 11, 4 (1999), 953--963. Google ScholarDigital Library
Index Terms
- The impact of information technology on energy consumption and carbon emissions
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