Reference : Energy-aware VM allocation on An Opportunistic Cloud Infrastructure

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/17827

Title :	Energy-aware VM allocation on An Opportunistic Cloud Infrastructure
Language :	English
Author, co-author :	Diaz, Cesar [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Castro, Harold [University of Los Andes > Department of Systems and Computing Engineering]
	Villamizar, Mario [University of Los Andes > Department of Systems and Computing Engineering]
	Pecero, Johnatan [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	2013
Main document title :	Proceedings of the 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing
Peer reviewed :	Yes
Audience :	International
ISBN :	978-0-7695-4996-5
Event name :	13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing
Event date :	from 13-05-2013 to 16-05-2013
Event place (city) :	Delft
Event country :	Netherlands
Keywords :	[en] Opportunistic Cloud ; Cloud Computing ; UnaCloud
Abstract :	[en] UnaCloud is an opportunistic based cloud infras- tructure (IaaS) that allows to access on-demand computing capabilities using commodity desktops. Although UnaCloud maximizes the use of idle resources to deploy virtual machines, it does not use energy-efficient resource allocation algorithms. In this paper, we design and develop different energy-aware algorithms to operate in an energy-efficient way and at the same time to guarantee the performance of the UnaCloud users. Performance tests with different algorithms and scenarios using real trace workloads from UnaCloud, show how different policies can change the energy consumption patterns and reduce the energy consumption in the opportunistic cloud infrastructure. The results show that some algorithms can reduce the energy-consumption power up to 30% over the percentage earned by the opportunistic environment
Target :	Researchers ; Professionals ; Students ; General public
Permalink :	http://hdl.handle.net/10993/17827
DOI :	10.1109/CCGrid.2013.96

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