2 Matching Annotations
- Nov 2017
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www.ceet.unimelb.edu.au www.ceet.unimelb.edu.au
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Figure 4: Typical diurnal cycle for traffi c in the Internet. The scale on the vertical axis is the percentage of total users of the service that are on-line at the time indicated on the horizontal axis. (Source: [21])
I can't see an easy way to link to this graph itself, but this reference should make it easier to get to this image in future
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Our energy calculations show that by 2015, wireless cloud will consume up to 43 TWh, compared to only 9.2 TWh in 2012, an increase of 460%. This is an increase in carbon footprint from 6 megatonnes of CO2 in 2012 to up to 30 megatonnes of CO2 in 2015, the equivalent of adding 4.9 million cars to the roads. Up to 90% of this consumption is attributable to wireless access network technologies, data centres account for only 9%.
Wow, these numbers. More than 90% in transmission? This makes CDNs and other web performance optimisation techniques much more relevant, than I first thought.
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