SASAgent: An Agent Based Architecture for Search, Retrieval and Composition of e-Science Models and Tools
Identifieur interne : 000954 ( Main/Exploration ); précédent : 000953; suivant : 000955SASAgent: An Agent Based Architecture for Search, Retrieval and Composition of e-Science Models and Tools
Auteurs : Felipe Mendes ; Regina Braga [Brésil] ; Fernanda Campos [Brésil]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: Scientific Computing is a multidisciplinary field that goes beyond the use of computer as machine where researchers write simple texts, presentations or store analysis and results of their experiments. Considering the increase use of computer resources applied to experiments and simulations, it is notable that the research groups are at a new level of scientific computing, well represented by e-Science domain. This work aims to propose an architecture, based on intelligent agents, to search, retrieve and compose simulation models, generated within research projects related to scientific domains. The SASAgent architecture is described and a case study is presented. Preliminary results suggest that the proposed architecture is promising to achieve requirements found in e-Science projects.
Url:
DOI: 10.1007/978-3-642-15020-3_8
Affiliations:
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Le document en format XML
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Considering the increase use of computer resources applied to experiments and simulations, it is notable that the research groups are at a new level of scientific computing, well represented by e-Science domain. This work aims to propose an architecture, based on intelligent agents, to search, retrieve and compose simulation models, generated within research projects related to scientific domains. The SASAgent architecture is described and a case study is presented. 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