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Energy Optimization Methodology for e-Infrastructure Providers

Authors :
Astsatryan, Hrachya
Narsisian, Wahi
Kocharyan, Aram
Da Costa, Georges
Hankel, Albert
Oleksiak, Ariel
Institute for Informatics and Automation Problems
NAS of Armenia
Système d’exploitation, systèmes répartis, de l’intergiciel à l’architecture (IRIT-SEPIA)
Institut de recherche en informatique de Toulouse (IRIT)
Université Toulouse 1 Capitole (UT1)
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3)
Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP)
Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1)
Université Fédérale Toulouse Midi-Pyrénées
Université Toulouse III - Paul Sabatier (UT3)
SURFnet (Utrecht, Pays-Bas)
SURFnet (NETHERLANDS)
Poznan Supercomputing and Networking Center (PSNC)
Centre National de la Recherche Scientifique - CNRS (FRANCE)
Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université Toulouse 1 Capitole - UT1 (FRANCE)
National Academy of Sciences of the Republic of Armenia (ARMENIA)
Poznan Supercomputing and Networking Center - PSNC (POLAND)
Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Source :
Concurrency and Computation: Practice and Experience, Concurrency and Computation: Practice and Experience, Wiley, 2017, vol .29 (n° 1), pp. 1. ⟨10.1002/cpe.4073⟩
Publication Year :
2017
Publisher :
HAL CCSD, 2017.

Abstract

International audience; The 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.

Details

Language :
English
ISSN :
15320626 and 15320634
Database :
OpenAIRE
Journal :
Concurrency and Computation: Practice and Experience, Concurrency and Computation: Practice and Experience, Wiley, 2017, vol .29 (n° 1), pp. 1. ⟨10.1002/cpe.4073⟩
Accession number :
edsair.dedup.wf.001..901e024b5001d71458286eb3fad60d56