Navigation auf zora.uzh.ch

Search ZORA

ZORA (Zurich Open Repository and Archive)

The energy intensity of the internet: home and access networks

Coroama, Vlad C; Schien, Daniel; Preist, Chris; Hilty, Lorenz M (2015). The energy intensity of the internet: home and access networks. In: Hilty, Lorenz; Aebischer, Bernard. ICT Innovations for Sustainability. Cham: Springer, 137-155.

Abstract

Estimates of the energy intensity of the Internet diverge by several orders of magnitude. We present existing assessments and identify diverging definitions of the system boundary as the main reason for this large spread. The decision of whether or not to include end devices influences the result by 1-2 orders of magnitude. If end devices are excluded, customer premises equipment (CPE) and access networks have a dominant influence. Of less influence is the consideration of cooling equipment and other overhead, redundancy equipment, and the amplifiers in the optical fibers. We argue against the inclusion of end devices when assessing the energy intensity of the Internet, but in favor of including CPE, access networks, redundancy equipment, cooling and other overhead as well as optical fibers. We further show that the intensities of the metro and core network are best modeled as energy per data, while the intensity of CPE and access networks are best modeled as energy per time (i.e., power), making overall assessments challenging. The chapter concludes with a formula for the energy intensity of CPE and access networks. The formula is presented both in generic form as well as with concrete estimates of the average case to be used in quick assessments by practitioners. The following chapter develops a similar formula for the core and edge networks. Taken together, the two chapters provide an assessment method of the Internet's energy intensity that takes into account dierent modeling paradigms for dierent parts of the network.

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
Scopus Subject Areas:Physical Sciences > Control and Systems Engineering
Physical Sciences > General Computer Science
Scope:Discipline-based scholarship (basic research)
Language:English
Date:2015
Deposited On:27 Mar 2015 15:47
Last Modified:13 Mar 2025 02:36
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_8
OA Status:Green
Publisher DOI:https://doi.org/10.1007/978-3-319-09228-7_8
Other Identification Number:merlin-id:10301

Metadata Export

Statistics

Citations

Dimensions.ai Metrics
28 citations in Web of Science®
36 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

554 downloads since deposited on 27 Mar 2015
57 downloads since 12 months
Detailed statistics

Authors, Affiliations, Collaborations

Similar Publications