A survey on resource allocation in high performance distributed computing systems

ISCAS OpenIR

	A survey on resource allocation in high performance distributed computing systems
	Hussain, Hameed; Malik, Saif Ur Rehman; Hameed, Abdul; Khan, Samee Ullah; Bickler, Gage; Min-Allah, Nasro; Qureshi, Muhammad Bilal; Zhang, Limin; Wang Yongji; Ghani, Nasir; Kolodziej, Joanna; Zomaya, Albert Y.; Xu, Cheng-Zhong; Balaji, Pavan; Vishnu, Abhinav; Pinel, Fredric; Pecero, Johnatan E.; Kliazovich, Dzmitry; Bouvry, Pascal; Li, Hongxiang; Wang, Lizhe; Chen, Dan; Rayes, Ammar
	2013
Source	PARALLEL COMPUTING
ISSN	0167-8191
Volume	39 Issue:11 Pages:709-736
English Abstract	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. (C) 2013 Elsevier B.V. All rights reserved.; 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. (C) 2013 Elsevier B.V. All rights reserved.
Indexed Type	SCI
Keyword	Scheduling Resource Allocation Resource Management
Department	[Hussain, Hameed; Min-Allah, Nasro; Qureshi, Muhammad Bilal] COMSATS Inst Informat Technol, Islamabad 44000, Pakistan. [Malik, Saif Ur Rehman; Hameed, Abdul; Khan, Samee Ullah; Bickler, Gage; Zhang, Limin] N Dakota State Univ, Fargo, ND 58108 USA. [Wang Yongji] Chinese Acad Sci, Inst Software, Beijing, Peoples R China. [Ghani, Nasir] Univ S Florida, Tampa, FL 33620 USA. [Kolodziej, Joanna] Krakow Tech Univ, PL-31155 Krakow, Poland. [Zomaya, Albert Y.] Univ Sydney, Sydney, NSW 2006, Australia. [Xu, Cheng-Zhong] Wayne State Univ, Detroit, MI USA. [Balaji, Pavan] Argonne Natl Lab, Argonne, IL 60439 USA. [Vishnu, Abhinav] Pacific NW Natl Lab, Richland, WA 99352 USA. [Pinel, Fredric; Pecero, Johnatan E.; Kliazovich, Dzmitry; Bouvry, Pascal] Univ Luxembourg, L-1359 Luxembourg, Luxembourg. [Li, Hongxiang] Univ Louisville, Louisville, KY 40292 USA. [Wang, Lizhe] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing, Peoples R China. [Chen, Dan] China Univ Geosci, Wuhan 430074, Peoples R China. [Rayes, Ammar] CISCO Syst, San Jose, CA USA.
Language	英语
WOS ID	WOS:000328663200004
Citation statistics
Content Type	期刊论文
URI	http://ir.iscas.ac.cn/handle/311060/16904
Collection	中国科学院软件研究所
Recommended Citation GB/T 7714	Hussain, Hameed,Malik, Saif Ur Rehman,Hameed, Abdul,et al. A survey on resource allocation in high performance distributed computing systems[J]. PARALLEL COMPUTING,2013,39(11):709-736.
APA	Hussain, Hameed.,Malik, Saif Ur Rehman.,Hameed, Abdul.,Khan, Samee Ullah.,Bickler, Gage.,...&Rayes, Ammar.(2013).A survey on resource allocation in high performance distributed computing systems.PARALLEL COMPUTING,39(11),709-736.
MLA	Hussain, Hameed,et al."A survey on resource allocation in high performance distributed computing systems".PARALLEL COMPUTING 39.11(2013):709-736.

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