List scheduling heuristics for virtual machine mapping in cloud systems

Reference : List scheduling heuristics for virtual machine mapping in cloud systems


	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/10993/13509

Title :	List scheduling heuristics for virtual machine mapping in cloud systems
Language :	English
Author, co-author :	nesmachnow, sergio []
	iturriaga, santiago []
	dorronsoro, bernabe []
	El-Ghazali, Talbi []
	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 :	VI Latin American Symposium on High Performance Computing (HPCLatam)
Pages :	37-48
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	VI Latin American Symposium on High Performance Computing (HPCLatam)
Event date :	June 2013
Keywords :	[en] scheduling ; cloud computing
Abstract :	[en] This article introduces the formulation of the VirtualMachine Planning Problem in cloud computing systems. It deals with the efficient allocation of a set of virtual machine requests from customers into the available pre-booked resources the broker has in a number of cloud providers, maximizing the broker profit. Eight list scheduling heuristics are proposed to solve the problem, by taking into account different criteria for mapping request to available virtual machines. The experimental evaluation analyzes the profit, makespan, and flowtime results of the proposed methods over a set of 400 problem instances that account for realistic workloads and scenarios using real data from cloud providers.
Target :	Researchers
Permalink :	http://hdl.handle.net/10993/13509

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Open access	nesmachnow13List scheduling heuristics for virtual machine mapping in cloud systems.pdf		Publisher postprint	182.46 kB	View/Open

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