Research on semantic grid resource query

被引：0
|
作者：
Lu, Guoming [2 ]
Li, Lemin [3 ]
Li, Janping [1 ,4 ]
Gu, Xiaofeng [1 ]
Liu, Hui [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 610054, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Comp Sci & Technol, Chengdu 610054, Peoples R China
[3] Univ Elect Sci & Technol China, Sch Commun & Informat Engn, Chengdu 610054, Peoples R China
[4] Logist Engn Univ, Chongqing 400016, Peoples R China
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE INFORMATION COMPUTING AND AUTOMATION, VOLS 1-3 | 2008年
关键词：
knowledge; grid; resource management;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A dynamic gird computing environment is characterized by entity autonomy, and distribution. Within this paper, we describe a grid resource management model KRMM, Knowledge-based Resource Management Model, which manage the resource in a decentralized way while query and match resource based on global grid knowledge. With supporting of RDF and RDQL, KRMM can easily support grid resource set-matching and gang-matching. Further more, by extending ontology and inference rule, KRMM can support network centric resource correlated query by derived knowledge reasoning. This model is flexible and extensible, and is suitable for large scale grid resources matchmaking.
引用
收藏
页码：64 / +
页数：2
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