Abstract | ||
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Grid computing technology is a promising method to implement large-scale distributed resources sharing and cooperative problem solving across virtual organization. Agent with its intelligent nature is fit for representing network entity to encapsulate, provide and invoke grid service in the Internet. However, the challenging problem is how to reflect the changing business requirement in grid computing system. Policy, which can be revised at runtime, can solve this problem. Therefore, in this paper policy is integrated into agent BDI model, to reflect changing requirement of business application. Analysis shows that with the novel agent (P-Agent), grid computing system can be built in a seamless way. |
Year | DOI | Venue |
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2009 | 10.1109/ICETC.2009.69 | ICETC |
Keywords | Field | DocType |
large-scale distributed resource sharing,bdi model,grid computing,agent bdi model,grid service,policy enhanced grid computing,p-agent,business application,agent,resource allocation,multi-agent systems,problem solving,cooperative problem,challenging problem,novel agent,internet,virtual organization,business data processing,cooperative problem solving,paper policy,bdi,grid computing technology,policy,grid computing system,business requirement,computer architecture,resource sharing,cognition,logic,intelligent agent,distributed computing,intelligent networks,multi agent systems,educational technology,computational modeling | Intelligent agent,Grid computing,Computer science,Knowledge management,Multi-agent system,Utility computing,Semantic grid,Business requirements,Grid,Distributed computing,Virtual organization | Conference |
ISBN | Citations | PageRank |
978-0-7695-3609-5 | 0 | 0.34 |
References | Authors | |
0 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yanbin Peng | 1 | 1 | 2.72 |
Lv Ye | 2 | 0 | 0.34 |
Zhijun Zheng | 3 | 6 | 2.90 |
Jian Xiang | 4 | 0 | 2.70 |
Ji Gao | 5 | 19 | 8.29 |
Jieqing Ai | 6 | 1 | 1.70 |
Zhenyu Lu | 7 | 0 | 1.35 |
Yu Jin | 8 | 0 | 0.68 |
Xueqin Jiang | 9 | 133 | 33.57 |