• 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