DocumentCode :
2870946
Title :
Intelligent task composition and allocation through agents
Author :
Negri, Alessandro ; Poggi, Agostino ; Tomaiuolo, Michele
Author_Institution :
Dipt. di Ingegneria dell´´lnformazione, Universita degli Studi di Parma, Italy
fYear :
2005
fDate :
13-15 June 2005
Firstpage :
255
Lastpage :
260
Abstract :
In this paper we present GAIN (grid agent infrastructure), a multi-agent system that can be used for the development and deployment of flexible agent-based grid systems. Through the use of the agents jointly with the workflow and Web service technologies, we are able to support the users in the development and execution of grid applications. In particular, the GAIN system allows the definition of workflow applications by composing heterogeneous tasks and follows the different phases of the workflow execution, providing transparent allocation of the tasks on the different nodes of the grid. A first prototype of the system has been completed using the JADE agent development software and also some lab trials have been executed involving a small network of different JADE platforms.
Keywords :
Internet; grid computing; multi-agent systems; JADE agent development software; Web services; agent-based grid systems; grid agent infrastructure; intelligent task composition; multiagent system; task allocation; workflow application; Application software; Distributed computing; Grid computing; High performance computing; Intelligent agent; Multiagent systems; Personal communication networks; Service oriented architecture; Software prototyping; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Enabling Technologies: Infrastructure for Collaborative Enterprise, 2005. 14th IEEE International Workshops on
ISSN :
1524-4547
Print_ISBN :
0-7695-2362-5
Type :
conf
DOI :
10.1109/WETICE.2005.41
Filename :
1566217
Link To Document :
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