Energy efficient virtual machine provisioning in cloud data centers

A cloud data center consumes a great amount of electrical energy, resulting in a high level of carbon footprint. The reduction of electrical power consumption cuts down operational costs, and also improves system reliability for cloud based data centers. Data center power consumption is a critical i...

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Main Authors: Akhter, Nasrin, Othman, Mohamed
Format: Conference or Workshop Item
Language:English
Published: IEEE 2014
Online Access:http://psasir.upm.edu.my/id/eprint/55915/1/Energy%20efficient%20virtual%20machine%20provisioning%20in%20cloud%20data%20centers.pdf
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author Akhter, Nasrin
Othman, Mohamed
author_facet Akhter, Nasrin
Othman, Mohamed
author_sort Akhter, Nasrin
collection UPM
description A cloud data center consumes a great amount of electrical energy, resulting in a high level of carbon footprint. The reduction of electrical power consumption cuts down operational costs, and also improves system reliability for cloud based data centers. Data center power consumption is a critical issue that could be solved by consolidating servers' workload and turning off idle physical servers. We propose a heuristic based resource allocation policy for cloud based data centers in order to reduce operational costs. Our proposed technique shows that efficient resource allocation greatly reduces energy consumption, which leads to minimize operational costs. One of the more significant findings to emerge from this study is that, based on CPU utilization and live migration, proposed algorithm helps to minimize energy costs. The present study provides additional evidence with respect to environmental issues.
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spelling upm.eprints-559152017-06-30T09:52:21Z http://psasir.upm.edu.my/id/eprint/55915/ Energy efficient virtual machine provisioning in cloud data centers Akhter, Nasrin Othman, Mohamed A cloud data center consumes a great amount of electrical energy, resulting in a high level of carbon footprint. The reduction of electrical power consumption cuts down operational costs, and also improves system reliability for cloud based data centers. Data center power consumption is a critical issue that could be solved by consolidating servers' workload and turning off idle physical servers. We propose a heuristic based resource allocation policy for cloud based data centers in order to reduce operational costs. Our proposed technique shows that efficient resource allocation greatly reduces energy consumption, which leads to minimize operational costs. One of the more significant findings to emerge from this study is that, based on CPU utilization and live migration, proposed algorithm helps to minimize energy costs. The present study provides additional evidence with respect to environmental issues. IEEE 2014 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/55915/1/Energy%20efficient%20virtual%20machine%20provisioning%20in%20cloud%20data%20centers.pdf Akhter, Nasrin and Othman, Mohamed (2014) Energy efficient virtual machine provisioning in cloud data centers. In: 2014 IEEE 2nd International Symposium on Telecommunication Technologies (ISTT), 24-26 Nov. 2014, Langkawi, Kedah, Malaysia. (pp. 330-334). 10.1109/ISTT.2014.7238230
spellingShingle Akhter, Nasrin
Othman, Mohamed
Energy efficient virtual machine provisioning in cloud data centers
title Energy efficient virtual machine provisioning in cloud data centers
title_full Energy efficient virtual machine provisioning in cloud data centers
title_fullStr Energy efficient virtual machine provisioning in cloud data centers
title_full_unstemmed Energy efficient virtual machine provisioning in cloud data centers
title_short Energy efficient virtual machine provisioning in cloud data centers
title_sort energy efficient virtual machine provisioning in cloud data centers
url http://psasir.upm.edu.my/id/eprint/55915/1/Energy%20efficient%20virtual%20machine%20provisioning%20in%20cloud%20data%20centers.pdf
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