Reference : A survey on resource allocation in high performance distributed computing systems

	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/13682

Title :	A survey on resource allocation in high performance distributed computing systems
Language :	English
Author, co-author :	Hussain, Hameed [> >]
	Malik, Saif Ur Rehman [> >]
	Hameed, Abdul [> >]
	Khan, Samee Ullah [> >]
	Bickler, Gage [> >]
	Min-Allah, Nasro [> >]
	Qureshi, Muhammad Bilal [> >]
	Zhang, Limin [> >]
	Yongji, Wang [> >]
	Ghani, Nasir [> >]
	Kolodziej, Joanna [> >]
	Zomaya, Albert Y. [> >]
	Xu, Cheng-Zhong [> >]
	Balaji, Pavan [> >]
	Vishnu, Abhinav [> >]
	Pinel, Frédéric [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Pecero, Johnatan [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)]
	Kliazovich, Dzmitry [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
	Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)]
	Li, Hongxiang [> >]
	Wang, Lizhe [> >]
	Chen, Dan [> >]
	Rayes, Ammar [> >]
Publication date :	2013
Journal title :	Parallel Computing
Volume :	39
Issue/season :	11
Pages :	709 - 736
Peer reviewed :	Yes (verified by ORBilu)
Audience :	International
ISSN :	0167-8191
Keywords :	[en] Scheduling ; resource allocation ; HPC
Abstract :	[en] An efficient resource allocation is a fundamental requirement in high performance computing (HPC) systems. Many projects are dedicated to large-scale distributed computing systems that have designed and developed resource allocation mechanisms with a variety of architectures and services. In our study, through analysis, a comprehensive survey for describing resource allocation in various HPCs is reported. The aim of the work is to aggregate under a joint framework, the existing solutions for HPC to provide a thorough analysis and characteristics of the resource management and allocation strategies. Resource allocation mechanisms and strategies play a vital role towards the performance improvement of all the HPCs classifications. Therefore, a comprehensive discussion of widely used resource allocation strategies deployed in HPC environment is required, which is one of the motivations of this survey. Moreover, we have classified the HPC systems into three broad categories, namely: (a) cluster, (b) grid, and (c) cloud systems and define the characteristics of each class by extracting sets of common attributes. All of the aforementioned systems are cataloged into pure software and hybrid/hardware solutions. The system classification is used to identify approaches followed by the implementation of existing resource allocation strategies that are widely presented in the literature.
Permalink :	http://hdl.handle.net/10993/13682
DOI :	10.1016/j.parco.2013.09.009
Other URL :	http://www.sciencedirect.com/science/article/pii/S016781911300121X

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	Fulltext file(s): File Commentary Version Size Access Open access survey-resource.pdf Publisher postprint 1.07 MB View/Open

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