Reference : Bulding Platform as a Service for High Performance Computing over an Opportunistic Cl...

	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/10993/17829

Title :	Bulding Platform as a Service for High Performance Computing over an Opportunistic Cloud Computing
Language :	English
Author, co-author :	Sotelo, German [University of Los Andes > Department of Systems and Computing Engineering]
	Diaz, Cesar [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Villamizar, Mario [University of Los Andes > Department of Systems and Computing Engineering]
	Castro, Harold [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 :	Algorithms and Architectures for Parallel Processing
Publisher :	Springer International Publishing
Collection and collection volume :	Lecture Notes in Computer Science, 8285
Pages :	380-389
Peer reviewed :	Yes
Audience :	International
ISBN :	978-3-319-03858-2
Event name :	13th International Conference on Algorithms and Architectures for Parallel Processing
Event date :	from 18-12-2013 to 20-12-2013
Event place (city) :	Vietri sul Mare
Event country :	Italy
Keywords :	[en] PaaS ; IaaS ; Opportunistic Computing
Abstract :	[en] PlatformasaServiceprovidersdeliverdevelopmentandrun- time environments for applications that are hosted on the Cloud. In this paper, we present a Platform as a Service model constructed over a desktop-based Cloud infrastructure for developing high performance computing applications taking advantage of unused resources opportunis- tically. We highlight the key concepts and features of the platform, as well as its innovation on an opportunistic computing and we present the results of several tests showing the performance of the proposed model.
Target :	Researchers ; Professionals ; Students ; General public
Permalink :	http://hdl.handle.net/10993/17829
DOI :	10.1007/978-3-319-03859-9_33

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