中国科学院软件研究所机构知识库
Advanced  
ISCAS OpenIR  > 软件所图书馆  > 期刊论文
Title:
A survey on resource allocation in high performance distributed computing systems
Author: 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
Keyword: Scheduling ; Resource allocation ; Resource management
Source: PARALLEL COMPUTING
Issued Date: 2013
Volume: 39, Issue:11, Pages:709-736
Indexed Type: SCI
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.
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.
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.
Language: 英语
WOS ID: WOS:000328663200004
Citation statistics:
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/16904
Appears in Collections:软件所图书馆_期刊论文

Files in This Item:

There are no files associated with this item.


Recommended Citation:
Hussain, Hameed,Malik, Saif Ur Rehman,Hameed, Abdul,et al. A survey on resource allocation in high performance distributed computing systems[J]. PARALLEL COMPUTING,2013-01-01,39(11):709-736.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Hussain, Hameed]'s Articles
[Malik, Saif Ur Rehman]'s Articles
[Hameed, Abdul]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Hussain, Hameed]‘s Articles
[Malik, Saif Ur Rehman]‘s Articles
[Hameed, Abdul]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2019  中国科学院软件研究所 - Feedback
Powered by CSpace