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Concurrency and Computation Practice and Experience
Article . 2017 . Peer-reviewed
License: Wiley Online Library User Agreement
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DBLP
Article . 2017
Data sources: DBLP
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Energy optimization methodology for e‐infrastructure providers

Authors: Hrachya V. Astsatryan; Wahi Narsisian; Aram Kocharyan; Georges Da Costa; Albert Hankel; Ariel Oleksiak;

Energy optimization methodology for e‐infrastructure providers

Abstract

SummaryThe environmental protection is a dominant concern for all types of industries, organizations, and governments. In this regard, the reduction of the energy consumption is substantial in bringing down the CO2 gas emission, which is considered as an important factor causing global warming. The e‐infrastructure service providers, such as National Research and Education Networks or National Grid Initiatives have crucial role in the context of energy awareness because the energy consumption of the networking, data, and computational infrastructures keeps increasing exponentially over the time. In addition to this, scientific gateways and cloud services are becoming more significant to tackle scientific and societal challenges. Therefore, there is a need to provide robust and reliable services taking into account energy consumption aspect of e‐infrastructures. The aim of the article is to introduce an energy optimization methodology for the beneficiaries of the e‐infrastructures to explore, optimize, and report the energy consumption and CO2 emission of data, computing, and networking facilities. The suggested methodology has been implemented within the Armenian e‐infrastructure aiming at the reduction of the energy consumption and thereby the CO2 emission.

Country
France
Keywords

690, [INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR], Système d'exploitation, Réseaux et télécommunications, Systèmes embarqués, 333, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Architectures Matérielles, Green ICT, Virtualization, [INFO.INFO-ES]Computer Science [cs]/Embedded Systems, Nesus, E-infrastructure, [INFO.INFO-OS]Computer Science [cs]/Operating Systems [cs.OS], DVFS, Energy optimisation, Memory ballooning

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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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6
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23
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