Virtualised load management algorithm to reduce CO2 emissions in the data centre industry
The environmental footprint of ICT continues to increase. Data centres are key contributors of greenhouse gas emissions that pollute the environment and cause global warming. All data centres are overwhelmed with numerous servers as the major components of processing. These servers and other equipme...
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my.utm.558892017-08-25T05:32:06Z http://eprints.utm.my/id/eprint/55889/ Virtualised load management algorithm to reduce CO2 emissions in the data centre industry Uddin, Mueen Memon, Jamshed Abd. Rozan, Mohd. Zaidi Al Alsaqour, Raed Ali Rehman, Amjad QA75 Electronic computers. Computer science The environmental footprint of ICT continues to increase. Data centres are key contributors of greenhouse gas emissions that pollute the environment and cause global warming. All data centres are overwhelmed with numerous servers as the major components of processing. These servers and other equipment consume high amounts of power, thereby emitting CO2. In an average server environment, 30% of the servers are 'dead' and only consume energy, but such servers are not properly utilised, in which their utilisation ratios range from 5% to 10%. This paper proposes a new algorithm to manage and categorise the workload of different underutilised volume servers properly to increase their utilisation capacity. The proposed algorithm helps apply server consolidation methodology and increases the utilisation ratio of underutilised servers by up to 50%, thereby saving high amounts of power and reducing greenhouse gas emissions by up to 88%. Inderscience Publishers 2015 Article PeerReviewed Uddin, Mueen and Memon, Jamshed and Abd. Rozan, Mohd. Zaidi and Al Alsaqour, Raed Ali and Rehman, Amjad (2015) Virtualised load management algorithm to reduce CO2 emissions in the data centre industry. International Journal of Global Warming, 7 (1). pp. 3-20. ISSN 1758-2083 http://dx.doi.org/10.1504/IJGW.2015.067413 DOI:10.1504/IJGW.2015.067413 |
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QA75 Electronic computers. Computer science Uddin, Mueen Memon, Jamshed Abd. Rozan, Mohd. Zaidi Al Alsaqour, Raed Ali Rehman, Amjad Virtualised load management algorithm to reduce CO2 emissions in the data centre industry |
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The environmental footprint of ICT continues to increase. Data centres are key contributors of greenhouse gas emissions that pollute the environment and cause global warming. All data centres are overwhelmed with numerous servers as the major components of processing. These servers and other equipment consume high amounts of power, thereby emitting CO2. In an average server environment, 30% of the servers are 'dead' and only consume energy, but such servers are not properly utilised, in which their utilisation ratios range from 5% to 10%. This paper proposes a new algorithm to manage and categorise the workload of different underutilised volume servers properly to increase their utilisation capacity. The proposed algorithm helps apply server consolidation methodology and increases the utilisation ratio of underutilised servers by up to 50%, thereby saving high amounts of power and reducing greenhouse gas emissions by up to 88%. |
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Article |
author |
Uddin, Mueen Memon, Jamshed Abd. Rozan, Mohd. Zaidi Al Alsaqour, Raed Ali Rehman, Amjad |
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Uddin, Mueen Memon, Jamshed Abd. Rozan, Mohd. Zaidi Al Alsaqour, Raed Ali Rehman, Amjad |
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Uddin, Mueen |
title |
Virtualised load management algorithm to reduce CO2 emissions in the data centre industry |
title_short |
Virtualised load management algorithm to reduce CO2 emissions in the data centre industry |
title_full |
Virtualised load management algorithm to reduce CO2 emissions in the data centre industry |
title_fullStr |
Virtualised load management algorithm to reduce CO2 emissions in the data centre industry |
title_full_unstemmed |
Virtualised load management algorithm to reduce CO2 emissions in the data centre industry |
title_sort |
virtualised load management algorithm to reduce co2 emissions in the data centre industry |
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Inderscience Publishers |
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2015 |
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http://eprints.utm.my/id/eprint/55889/ http://dx.doi.org/10.1504/IJGW.2015.067413 |
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