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Energy Performance Assessment of Virtualization Technologies Using Small Environmental Monitoring Sensors

The increasing trends of electrical consumption within data centres are a growing concern for business owners as they are quickly becoming a large fraction of the total cost of ownership. Ultra small sensors could be deployed within a data centre to monitor environmental factors to lower the electri...

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Detalles Bibliográficos
Autores principales: Liu, Lu, Masfary, Osama, Antonopoulos, Nick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3386759/
https://www.ncbi.nlm.nih.gov/pubmed/22778660
http://dx.doi.org/10.3390/s120506610
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author Liu, Lu
Masfary, Osama
Antonopoulos, Nick
author_facet Liu, Lu
Masfary, Osama
Antonopoulos, Nick
author_sort Liu, Lu
collection PubMed
description The increasing trends of electrical consumption within data centres are a growing concern for business owners as they are quickly becoming a large fraction of the total cost of ownership. Ultra small sensors could be deployed within a data centre to monitor environmental factors to lower the electrical costs and improve the energy efficiency. Since servers and air conditioners represent the top users of electrical power in the data centre, this research sets out to explore methods from each subsystem of the data centre as part of an overall energy efficient solution. In this paper, we investigate the current trends of Green IT awareness and how the deployment of small environmental sensors and Site Infrastructure equipment optimization techniques which can offer a solution to a global issue by reducing carbon emissions.
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spelling pubmed-33867592012-07-09 Energy Performance Assessment of Virtualization Technologies Using Small Environmental Monitoring Sensors Liu, Lu Masfary, Osama Antonopoulos, Nick Sensors (Basel) Article The increasing trends of electrical consumption within data centres are a growing concern for business owners as they are quickly becoming a large fraction of the total cost of ownership. Ultra small sensors could be deployed within a data centre to monitor environmental factors to lower the electrical costs and improve the energy efficiency. Since servers and air conditioners represent the top users of electrical power in the data centre, this research sets out to explore methods from each subsystem of the data centre as part of an overall energy efficient solution. In this paper, we investigate the current trends of Green IT awareness and how the deployment of small environmental sensors and Site Infrastructure equipment optimization techniques which can offer a solution to a global issue by reducing carbon emissions. Molecular Diversity Preservation International (MDPI) 2012-05-18 /pmc/articles/PMC3386759/ /pubmed/22778660 http://dx.doi.org/10.3390/s120506610 Text en © 2012 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Liu, Lu
Masfary, Osama
Antonopoulos, Nick
Energy Performance Assessment of Virtualization Technologies Using Small Environmental Monitoring Sensors
title Energy Performance Assessment of Virtualization Technologies Using Small Environmental Monitoring Sensors
title_full Energy Performance Assessment of Virtualization Technologies Using Small Environmental Monitoring Sensors
title_fullStr Energy Performance Assessment of Virtualization Technologies Using Small Environmental Monitoring Sensors
title_full_unstemmed Energy Performance Assessment of Virtualization Technologies Using Small Environmental Monitoring Sensors
title_short Energy Performance Assessment of Virtualization Technologies Using Small Environmental Monitoring Sensors
title_sort energy performance assessment of virtualization technologies using small environmental monitoring sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3386759/
https://www.ncbi.nlm.nih.gov/pubmed/22778660
http://dx.doi.org/10.3390/s120506610
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