Power Trends in Communication Networks

Kilper, Daniel C.; Atkinson, Gary; Korotky, S.K.; Goyal, S. K.; Vetter, Peter; Suvakovic, Dusan; Blume, Oliver

doi:10.1109/jstqe.2010.2074187

Cited by 155 publications

(127 citation statements)

References 17 publications

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“…In addition, we also provided an analytical model to estimate, using a top-down approach, the power consumption across the various layers, such as IP switches, optical switches and transponders. This model is in-line with two earlier proposed models [3], [1], with the latter being referred to as a transactional model. In this paper, we want to use the general form of our analytical model to survey a number of power saving approaches for backbone networks.…”

Section: Introductionsupporting

confidence: 82%

“…While this growth is gradually slowing down from an earlier Compound Annual Growth Rate (CAGR) of 100% (about 10 years ago) to an estimated CAGR of 32% currently, this reduced growth still outperforms the annual 10% efficiency increase of telecommunication equipment in the backbone [1], [2]. As such, the power consumed by Information and Communication Technologies (ICT) backbone network devices continues to increase year by year.…”

Section: Introductionmentioning

confidence: 99%

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Using an analytical power model to survey power saving approaches in backbone networks

Heddeghem

Parker

Lambert

et al. 2012

2012 17th European Conference on Networks and Optical Communications

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Abstract-Several approaches exist to categorize power savings in Information and Communication Technologies (ICT) networks. In this paper we survey current power saving techniques in backbone telecommunication networks, based on an analytical power model. This categorization allows for a more intuitive understanding of the power saving potential of different approaches, and shows that in order to achieve large savings (i.e. more than 10 times reduction of the current power consumption), effort will need to be concentrated on those techniques that reduce either the traffic volume or the equipment power rating. The survey in this paper also provides the basis for a more quantitative evaluation of future power saving techniques.

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Section: Introductionsupporting

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Using an analytical power model to survey power saving approaches in backbone networks

Heddeghem

Parker

Lambert

et al. 2012

2012 17th European Conference on Networks and Optical Communications

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“…On the one hand, a bottom-up approach can be used, as was done by the authors in [8,9]. They summed the power consumption of individual network components (such as routers, optical amplification systems and mobile base stations) to estimate the electricity consumption, per user or per unit of traffic, for a given service.…”

Section: Telecom Operator Networkmentioning

confidence: 99%

“…However, the deviation in the office subcategory from our results is only 30%, which is lower than what we observed for Malmodin's study. This is because the SMARTer2020 report assumed 4 watts for network equipment per office PC, or half of Malmodin's value 8 . While 4 W/unit is slightly lower than our 4.4 W/unit for 2011, the higher number of office PCs in the SMARTer2020 report results in an overall higher value for office network electricity consumption.…”

Section: Comparison With Other Studiesmentioning

confidence: 99%

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Trends in worldwide ICT electricity consumption from 2007 to 2012

Heddeghem

Lambert

Lannoo

et al. 2014

Computer Communications

440

206

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Information and Communication Technology (ICT) devices and services are becoming more and more widespread in all aspects of human life. Following an increased worldwide focus on the environmental impacts of energy consumption in general, there is also a growing attention to the electricity consumption associated with ICT equipment.In this paper we assess how ICT electricity consumption in the use phase has evolved from 2007 to 2012 based on three main ICT categories: communication networks, personal computers, and data centers. We provide a detailed description of how we calculate the electricity use and evolution in these three categories.Our estimates show that the yearly growth of all three individual ICT categories (10%, 5%, and 4% respectively) is higher than the growth of worldwide electricity consumption in the same time frame (3%). The relative share of this subset of ICT products and services in the total worldwide electricity consumption has increased from about 3.9% in 2007 to 4.6% in 2012. We find that the absolute electricity consumption of each of the three categories is still roughly equal. This highlights the need for energy-efficiency research across all these domains, rather than focusing on a single one.

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