2012 IEEE Online Conference on Green Communications (GreenCom) 2012
DOI: 10.1109/greencom.2012.6519628
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Evaluation of power rating of core network equipment in practical deployments

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Cited by 25 publications
(25 citation statements)
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“…We should also point out that, in a separate work [10], we have already explored the impact of real-life equipment filling levels on the optimal power ratings given previously. Our initial findings suggest that, as a result of sub-optimal filling, actual power ratings might be almost two times higher (i.e.…”
Section: A Reference Power Valuesmentioning
confidence: 99%
See 1 more Smart Citation
“…We should also point out that, in a separate work [10], we have already explored the impact of real-life equipment filling levels on the optimal power ratings given previously. Our initial findings suggest that, as a result of sub-optimal filling, actual power ratings might be almost two times higher (i.e.…”
Section: A Reference Power Valuesmentioning
confidence: 99%
“…maximum load), and not the actual load, the influence of varying traffic load (in its current form) is not captured in the power rating factor. Relatedly, in [10] we have looked into the impact of equipment filling levels on the power rating value. This is because equipment deployed in the field is not always optimally filled; but instead often starts off with an almost empty chassis which, over time, is filled with more and more line and control cards.…”
Section: Power Ratingmentioning
confidence: 99%
“…We assume the power-per-port value fixed and independent of the load, as the power consumption of present-day IP routers when idle and under full load are very similar [10], [11]. This also implies that the influence on the power consumption of buffering and table look-up associated with packet switching is negligible.…”
Section: B Power Consumption Modelmentioning
confidence: 99%
“…All values are taken from [5], with the exception of the 40G coherent transponder value which is based on [10].…”
Section: B Power Consumption Modelmentioning
confidence: 99%
“…We will use them as a basis for the weighting factors (also listed in Table II) in the analytical model, as we will explain in the next subsection. The power ratings are distilled from [16] and [20], and are homogenized across three properties. First, they are derived from typical power consumption values (as opposed to vendor rated power, which is typically higher and used for provisioning the power distribution infrastructure).…”
Section: A Baseline Scenario and Reference Power Rating Valuesmentioning
confidence: 99%