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Reactive Mobility by Failure: When Fail Means Move

Author

Listed:
  • Alejandro Zunino

    (UNICEN University)

  • Marcelo Campo

    (UNICEN University
    National Council for Scientific and Technical Research of Argentina (CONICET))

  • Cristian Mateos

    (UNICEN University
    Council for Scientific Research of Buenos Aires, Argentina (CIC).)

Abstract

Mobile agent development is mainly supported by Java-based platforms and tools. However, the weak mobility model they use, the lack of adequate support for developing inference and reasoning mechanisms, added to the inherent complexity of building location-aware software, impose strong limitations for developing mobile intelligent agent systems. In this article we present MoviLog, a platform for building Prolog-based mobile agents with a strong mobility model. MoviLog is an extension of JavaLog, an integration of Java and Prolog, that allows us to take advantage of the best features of the programming paradigms they represent. MoviLog agents, called Brainlets, are able to migrate among different Web sites, either proactively or reactively, to use the available knowledge in order to find a solution. The major contribution of MoviLog is its Reactive Mobility by Failure (RMF) mechanism. RMF is a mechanism that acts when an agent needs a resource or service that is not available at the current executing site. RMF uses a distributed multi-agent system to transparently transport the executing agent to the site where the resource/service is available, thus reducing the development effort with respect to the traditional mobile agent approach, while maintaining its advantages.

Suggested Citation

  • Alejandro Zunino & Marcelo Campo & Cristian Mateos, 2005. "Reactive Mobility by Failure: When Fail Means Move," Information Systems Frontiers, Springer, vol. 7(2), pages 141-154, May.
    • Handle: RePEc:spr:infosf:v:7:y:2005:i:2:d:10.1007_s10796-005-1475-2
    DOI: 10.1007/s10796-005-1475-2
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    Cited by:

    1. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.

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