http://www.cnr.it/ontology/cnr/individuo/prodotto/ID43983
Execution support of high performance heterogeneous component-based applications on the Grid (Articolo in rivista)
- Type
- Label
- Execution support of high performance heterogeneous component-based applications on the Grid (Articolo in rivista) (literal)
- Anno
- 2007-01-01T00:00:00+01:00 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Tonellotto N.; Danelutto M.; Vanneschi M.; Coppola M.; Zoccolo C. (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
- In: Euro-Par 2006: Parallel Processing. pp. 171 - 185. Wolfgang Lehner, Norbert Meyer, Achim Streit and Craig Stewart (eds.). (Lecture Notes in Computer Science, vol. 4375). Springer, 2007. (literal)
- Note
- Scopu (literal)
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- ISTI-CNR; Università di Pisa; Università di Pisa; ISTI-CNR; Università di Pisa; (literal)
- Titolo
- Execution support of high performance heterogeneous component-based applications on the Grid (literal)
- Abstract
- Application deployment is becoming an increasingly hard task, as complex, component-based Grid applications have to be deployed on heterogeneous and dynamic Grids, interfacing to several different component frameworks and Grid middlewares. We describe the architecture of the Grid Execution Agent (GEA), the deployment and resource brokering tool of the Grid.it project. GEA has been designed to ease the deployment of complex Grid applications written in a high-level, structured way. To easily handle different component models over heterogeneous Grid resources, the GEA design exploits multiple levels of abstraction. Our approach allows consistent translation of the high-level requirements from heterogeneous, multi-component applications, to low-level operations over different middlewares. GEA architecture provides a unified interface with services to locate resources, devise initial mapping, and instantiate applications, and it is extensible to new component models. It supports dynamically reconfiguring, self-adapting applications by allowing execution-time resource allocation changes. (literal)
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