The Measurement and Optimization of ICT Energy Consumption

dc.contributor.author Erol Gelenbe
dc.contributor.author Gelenbe, Erol
dc.contributor.editor T.V. Gopal , L. Lau , L. Chang , G. Adamson
dc.date.accessioned 2025-10-06T17:50:07Z
dc.date.issued 2022
dc.description.abstract The paper considers important issues surrounding the energy consumption by Information and Communication Technologies (ICT) which has been steadily growing and is now attaining approximately 10% of the worldwide electricity consumption with a significant impact on greenhouse gas emissions. The perimeter of ICT systems is discussed and the role of the sub-systems that compose ICT is considered. Data from recent years is used to consider how each of these subsystems contribute to ICT's energy consumption. The positive correlation between the penetration of ICT in some of the world's different economies and the same economies' contributions to undesirable greenhouse gas emissions is also discussed. We also examine how emerging technologies such as 5G edge computing and cryptocurrencies are contributing to the worldwide increase in electricity consumption by ICT despite the ever increase in efficiency in energy per bit processed stored or transmitted by ICT systems. The measurement of specific ICT systems' electricity consumption is considered and the manner in which this consumption can be minimized in two specific technical contexts is also discussed in some detail. © 2023 Elsevier B.V. All rights reserved.
dc.description.sponsorship IEEE, IEEE Humanitarian Activities Committee
dc.description.sponsorship European Commission’s H2020 IoTAC Research and Innovation Action, (952684); FP7 ECROPS; FP7 FIT4Green; FP7 NEMESYS; H2020 SDK4ED; Horizon 2020 Framework Programme, H2020; Horizon 2020, (780572); Horizon 2020
dc.description.sponsorship This work was partially funded by the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 780572.
dc.description.sponsorship Several EU Research Programs helped the author form the opinions expressed in this paper, including FP7 FIT4Green, FP7 ECROPS, FP7 NEMESYS, H2020 SDK4ED, H2020 SerIoT, and he acknowledges the support of the European Commission’s H2020 IoTAC Research and Innovation Action, Grant Agreement No. 952684. He has also been influenced by discussions at a workshop of France’s General Counsel on the Economy and the French National Academy of Technologies [1]. The feedback he received during his presentations at the Energy Conference of the Turkish Academy of Sciences [2] and the IEEE ISTAS 2022 conference [24], and while drafing the ICT Chapter of the Report of the Energy Committee of the Council of Academies of Engineering and Technological Sciences Report [5], are gratefully acknowldeged.
dc.identifier.doi 10.1109/ISTAS55053.2022.10227107
dc.identifier.isbn 9781665484107
dc.identifier.scopus 2-s2.0-85172357750
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172357750&doi=10.1109%2FISTAS55053.2022.10227107&partnerID=40&md5=33e307886947d4c671d69edb3207b489
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/8760
dc.identifier.uri https://doi.org/10.1109/ISTAS55053.2022.10227107
dc.language.iso English
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof 2022 IEEE International Symposium on Technology and Society ISTAS 2022
dc.rights info:eu-repo/semantics/closedAccess
dc.subject Data Centers, Edge Computing, Energy Consumption, Information Technology, Radio Access Networks, 5g Mobile Communication Systems, Electric Power Utilization, Gas Emissions, Green Computing, Greenhouse Gases, Radio Access Networks, Datacenter, Edge Computing, Electricity-consumption, Energy-consumption, Greenhouse Gas Emissions, Information And Communication Technologies, Optimisations, Sub-systems, Technology System
dc.subject 5G mobile communication systems, Electric power utilization, Gas emissions, Green computing, Greenhouse gases, Radio access networks, Datacenter, Edge computing, Electricity-consumption, Energy-consumption, Greenhouse gas emissions, Information and Communication Technologies, Optimisations, Sub-systems, Technology system
dc.subject Information Technology
dc.subject Energy Consumption
dc.subject Data Centers
dc.subject Edge Computing
dc.subject Radio Access Networks
dc.title The Measurement and Optimization of ICT Energy Consumption
dc.type Conference Object
dspace.entity.type Publication
gdc.author.institutional Gelenbe, Erol (7006026729)
gdc.author.scopusid 7006026729
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gdc.description.department
gdc.description.departmenttemp [Gelenbe E.] Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, IITIS-PAN, Gliwice, 44-100, Poland, Université Côte d'Azur, Lab. I3S CNRS, Grand Château, Nice, Cecex 2 06103, France, Yasar University, Izmir, Bornova, Turkey
gdc.description.endpage 6
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 1
gdc.description.volume 2022-November
gdc.identifier.openalex W4386211452
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gdc.opencitations.count 3
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gdc.scopus.citedcount 2
person.identifier.scopus-author-id Gelenbe- Erol (7006026729)
project.funder.name Funding text 1: This work was partially funded by the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 780572., Funding text 2: Several EU Research Programs helped the author form the opinions expressed in this paper including FP7 FIT4Green FP7 ECROPS FP7 NEMESYS H2020 SDK4ED H2020 SerIoT and he acknowledges the support of the European Commission’s H2020 IoTAC Research and Innovation Action Grant Agreement No. 952684. He has also been influenced by discussions at a workshop of France’s General Counsel on the Economy and the French National Academy of Technologies [1]. The feedback he received during his presentations at the Energy Conference of the Turkish Academy of Sciences [2] and the IEEE ISTAS 2022 conference [24] and while drafing the ICT Chapter of the Report of the Energy Committee of the Council of Academies of Engineering and Technological Sciences Report [5] are gratefully acknowldeged., Funding text 3: This work was partially funded by the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 780572.
publicationvolume.volumeNumber 2022-November
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