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New Technology of Library and Information Service  2006, Vol. 1 Issue (3): 59-63    DOI: 10.11925/infotech.1003-3513.2006.03.13
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A Survey on the Models for Grid Resource Allocation
Ke Qing   Sun Jianjun
(Department of Information Management, Nanjing University, Nanjing 210093,China)
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Abstract  

Net resources are heterogeneous, distributed and dynamic, so the traditional resource management methods are not suitable for grid environment. A solution is the application of marketbased resource management. The paper analyses the reason for choosing marketbased grid resource management method, studies the economy framework for grid resource management and summaries the mainly market models for grid resource management.

Key wordsGrid      Resource allocation      Model     
Received: 28 November 2005      Published: 25 March 2006
: 

G253

 
Corresponding Authors: Ke Qing     E-mail: gigike@sohu.com
About author:: Ke Qing,Sun Jianjun

Cite this article:

Ke Qing,Sun Jianjun . A Survey on the Models for Grid Resource Allocation. New Technology of Library and Information Service, 2006, 1(3): 59-63.

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https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2006.03.13     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2006/V1/I3/59

1R. Buyya. Economic Based Distributed Resource Management and Scheduling for Grid Computing:[PHD Dissertation]Melbourne, Australian, Monash University, 2002: 12
2K. Czajkowski, I. Foster, etc. A Resource Management Architecture for Metacomputing Systems. in The 4th Workshop on Job Scheduling Strategies for Parallel Processing. Springer-Verlag LNCS 1459, 1998:62-82
3翁楚良,陆鑫达. 一种基于市场机制的网格资源调价算法. 计算机研究与发展, 2004 (7): 1151-1156
4R. Buyya, D. Abramson, etc. Economy Driven Resource Management Architecture for Computational Power Grids. LasVegas, USA: International Conference on Parallel and Distributed Processing Techniques and Applications(PDPTA’2000), 2000:5-8
5L.W.McKnight and J.Boroumand, Pricing Internet Services: Approaches and Challenges. IEEE Computer, Vol. 33, No.2 , IEEE CS Press, USA, Feb.2000 : 128-129
6Nirmalya Roy, etc. Enhancing Availability of Grid Computational Services to Ubiquitous Computing Applicationshttp://crewman.uta.edu/mug/Publications/Nirmalya/ipdps05_nroy.pdf(Accessed  Sept. 30,2005)
7Nirmalya Roy.Providing Better Qos Assurance to Next Generation Ubiquitous Grid Users.May.2004. http:// crewman.uta.edu/theses/nirmalya.pdf ( Accessed  Sept. 30,2005)
8R.Smith and R.Davis, The Contract Net Protocol: High Level Communication and Control in a Distributed Probleme Solver, IEEE Transactions on Computers, Vol. C-29, No.12:1104-1113
9A.lazar and N. Semret, Auctions for Network Resource Sharing, TR 468-97-02,Columbia University,Feb.1997:45-72
10B.Chun and D.Culler, Market-based proportional resource sharing for clusters, Technical Report CSD-1092, University of California, Berkeley, USA, January 2000:29
11C.Courcoubetis.Network economics. http://www.aueb.gr/users/courcoubetis/courses/ecobiz/ ( Accessed  Sept. 30,2005)

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