Authors
Dan Schien, Chris Preist
Publication date
2014/11/21
Journal
IEEE Communications Magazine
Volume
52
Issue
11
Pages
130-137
Publisher
IEEE
Description
With more and more activities taking place online, concern over the environmental impact of digital services has drawn attention to the energy intensity of the network. Estimating the network energy intensity has been the subject of research for some time but results have differed widely, thus weakening the robustness of any conclusions drawn from assessments. A review of past studies shows two separate communities at work, applying different methods and assumptions. In this article we consider the approaches of top-down and bottom-up modeling. Top-down models have in the past usually given higher estimates of energy intensity than bottom-up models. We find that among the main reasons for the difference are varying system boundaries, and assumptions on the number and energy efficiency of routers and optical transmission equipment. Through application of consistent system boundaries around the …
Total citations
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Scholar articles
D Schien, C Preist - IEEE Communications Magazine, 2014