OATAO - Open Archive Toulouse Archive Ouverte Open Access Week

An Energy Efficient Approach to Virtual Machines Management in Cloud Computing

Borgetto, Damien and Stolf, Patricia An Energy Efficient Approach to Virtual Machines Management in Cloud Computing. (2014) In: 3rd IEEE International Conference on Cloud Networking (CloudNet 2014), 8 October 2014 - 10 October 2014 (Luxembourg, Luxembourg).

[img]
Preview
(Document in English)

PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
882kB

Official URL: http://dx.doi.org/10.1109/CloudNet.2014.6968997

Abstract

Cloud computing platforms are well established as the reference infrastructure for flexibility allowing business to scale according to user demands. However, several challenges remain to be addressed. Scaling up the infrastructure to match up the resource demand of the users is relatively straight forward. However in order to save up on power consumption, cloud providers have to dynamically consolidate the virtual machines (VM), so that only a reduced subset of hosts remains powered on. To solve this issue, the cloud scheduler, which handles the VM allocations, has to balance between providing enough resource to each user, and reducing the overall power consumption of the cloud. In this paper we investigate the VM allocation and reallocation inside a cloud in order to save energy while maintaining the resources required by users. Such actions have to be made in order to minimize the number of hosts powered on, while limiting concurrent migrations of virtual machines, and in a reasonable computational time. We propose to effectively consolidate virtual machines with an approach handling the reallocation, migration and host management problems. Our approach has been implemented in OpenNebula, and experimentally compared with its default approach.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org This papers appears in Proceedings of IEEE CloudNet 2014. Electronic ISBN: 978-1-4799-2730-2The original PDF of the article can be found at: http://ieeexplore.ieee.org/document/6968997/ Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
HAL Id:hal-01390842
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Statistics:download
Deposited By: IRIT IRIT
Deposited On:24 Oct 2016 12:25

Repository Staff Only: item control page