UPM Institutional Repository

Energy efficient virtual machine provisioning in cloud data centers


Citation

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).

Abstract

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.


Download File

[img]
Preview
PDF (Abstract)
Energy efficient virtual machine provisioning in cloud data centers.pdf

Download (34kB) | Preview

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Computer Science and Information Technology
Institute for Mathematical Research
DOI Number: https://doi.org/10.1109/ISTT.2014.7238230
Publisher: IEEE
Keywords: Data center; Migration of virtual machines; Power consumption; Power saving; Virtualization
Depositing User: Nabilah Mustapa
Date Deposited: 30 Jun 2017 09:52
Last Modified: 30 Jun 2017 09:52
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ISTT.2014.7238230
URI: http://psasir.upm.edu.my/id/eprint/55915
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item