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The energy intensity of the internet: edge and core networks


Schien, Daniel; Coroama, Vlad C; Hilty, Lorenz; Preist, Chris (2015). The energy intensity of the internet: edge and core networks. In: Hilty, Lorenz; Aebischer, Bernard. ICT Innovations for Sustainability. Cham: Springer, 157-170.

Abstract

Environmental assessments of digital services seeking to take into account the Internet’s energy footprint typically require models of the energy intensity of the Internet. Existing models have arrived at conflicting results. This has lead to increased uncertainty and reduced comparability of assessment results. We present a bottom-up model for the energy intensity of the Internet that draws from the current state of knowledge in the field and is specifically directed towards assessments of digital services. We present the numeric results and explain the application of the model in practice. Complementing the previous chapter that presented a generic approach and results for access networks and customer premise equipment, we present a model to assess the energy intensity of the core networks, yielding the result of 0.052kWh/GB.

Abstract

Environmental assessments of digital services seeking to take into account the Internet’s energy footprint typically require models of the energy intensity of the Internet. Existing models have arrived at conflicting results. This has lead to increased uncertainty and reduced comparability of assessment results. We present a bottom-up model for the energy intensity of the Internet that draws from the current state of knowledge in the field and is specifically directed towards assessments of digital services. We present the numeric results and explain the application of the model in practice. Complementing the previous chapter that presented a generic approach and results for access networks and customer premise equipment, we present a model to assess the energy intensity of the core networks, yielding the result of 0.052kWh/GB.

Citations

6 citations in Web of Science®
2 citations in Scopus®
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Additional indexing

Item Type:Book Section, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Date:2015
Deposited On:27 Mar 2015 15:49
Last Modified:05 Apr 2016 19:11
Publisher:Springer
Series Name:Advances in Intelligent Systems and Computing
Number:310
ISSN:2194-5357
ISBN:978-3-319-09227-0 (P) 978-3-319-09228-7 (E)
Additional Information:The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-09228-7_9
Publisher DOI:https://doi.org/10.1007/978-3-319-09228-7_9
Other Identification Number:merlin-id:10300

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