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New Technology of Library and Information Service  2007, Vol. 2 Issue (12): 20-24    DOI: 10.11925/infotech.1003-3513.2007.12.05
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Hierarchical Architecture Model for Resources Sharing Service in the Grid
Yu DanhuiZhu Yaling2
1(Changchun Library,Changchun 130021,China)
2(School of Management,Jilin University,Changchun  130025,China)
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Abstract  

The authors propose a resource organizational architecture model in this paper,and then design a resource sharing service architecture model for information sharing management in the Grid. This model consists of the resource and user layer,service domain layer and Virtual Organization(VO) layer. Finally,The unthors analyse the functions and characteristics of the model, and propose the direction of the later study.

Key wordsGrid      Resources service      Hierarchical architecture      Model     
Received: 28 September 2007      Published: 25 December 2007
: 

G203

 
Corresponding Authors: Yu Danhui     E-mail: zhuyaling1@163.com
About author:: Yu Danhui,Zhu Yaling

Cite this article:

Yu Danhui,Zhu Yaling. Hierarchical Architecture Model for Resources Sharing Service in the Grid. New Technology of Library and Information Service, 2007, 2(12): 20-24.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2007.12.05     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2007/V2/I12/20

[1] Wei Jie, Terence Hung,Stephen J Turner, Wentong Cai.Architecture Model for Information Service in Large Scale Grid Environments[C]. Cluster Computing and the Grid, 2006. CCGRID 06. Sixth IEEE International Symposium on, 2006.
[2] Yih-Shin Tan, Brad Topol, Jie Xing.Business Service Grid,Part 1: Introduction[EB/OL].(2004-02-19)[2007-04-15].http://www-128.ibm.com/developerworks/cn/grid/gr-servicegrid6.html.
[3] Wei Jie,Wentong Cai. An Information Service for Grid Virtual Organization: Architecture,Implementation and Evaluation[J].The Journal of Supercomputing, 2005,34(3):273-290
[4] Xie Chao,Jin Hai,Li Shengli,et al.The Virtual Organization Model for Data Grid[C].In:Proceedings of The World Engineers’ Convention,2004,11:400-403
[5] 王玥,刘卫东,宋佳兴.网格环境中分层次哈希表资源发现机制[J].清华大学学报,2006,46(4):543-546.
[6] 中国教育科研网格公共支撑平台工作组.中国教育科研网格公共支撑平台设计规范[M]. 北京:清华大学出版社,2004:117-119.

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