Reference : Energy Savings on a Cloud-based Opportunistic 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/10993/17830

Title :	Energy Savings on a Cloud-based Opportunistic Infrastructure
Language :	English
Author, co-author :	Pecero, Johnatan [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	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]
	Sotelo, German [University of Los Andes > Department of Systems and Computing Engineering]
	Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	2014
Main document title :	Service Oriented Computing ICSOC 2013 Workshops
Publisher :	Spinger International Publishing
Collection and collection volume :	Lecture Notes in Computer Science, 8377
Pages :	366-378
Peer reviewed :	Yes
Audience :	International
ISBN :	978-3-319-06858-9
Event name :	3rd International Workshop on Cloud Computing and Scientific Applications
Event date :	from 2-12-2013 to 5-12-2013
Event place (city) :	Berlin
Event country :	Germany
Keywords :	[en] Opportunistic Cloud Computing ; PaaS ; Green computing
Abstract :	[en] In this paper, we address energy savings on a Cloud-based opportunistic infrastructure. The infrastructure implements opportunis- tic design concepts to provide basic services, such as virtual CPUs, RAM and Disk while profiting from unused capabilities of desktop computer laboratories in a non-intrusive way. We consider the problem of virtual machines consolidation on the oppor- tunistic cloud computing resources. We investigate four workload packing algorithms that place a set of virtual machines on the least number of physical machines to increase resource utilization and to transition parts of the unused resources into a lower power states or switching off. We em- pirically evaluate these heuristics on real workload traces collected from our experimental opportunistic cloud, called UnaCloud. The final aim is to implement the best strategy on UnaCoud. The results show that a consolidation algorithm implementing a policy taking into account fea- tures and constraints of the opportunistic cloud saves energy more than 40% than related consolidation heuristics, over the percentage earned by the opportunistic environment.
Target :	Researchers ; Professionals ; Students ; General public
Permalink :	http://hdl.handle.net/10993/17830
DOI :	10.1007/978-3-319-06859-6-32

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