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Timed mobile agent planning for distributed information retrieval

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Published:28 May 2001Publication History

ABSTRACT

The most significant performance factors in Mobile Agent Planning (MAP) ARE; (a) the number of mobile agents, (b) the total routing time consumed by the participated agents, and (c) the time constraints, (such as information ready time and deadline triggered unto each nodes to be visited). We propose the Timed Mobile Agent Planning (TMAP), a time constrained mobile agent planning method for finding the minimal number of agents and the best scheduled agents' itineraries for information retrieval from a distributed computing environment processed under the time- constraints while keeping the completion and the total routing time minimal. Experimental results show that this method is required and highly applicable directly to the time- constrained distributed information retrieval environment which has a time window which consists of a “ready- line” (information ready time) and a “deadline” (the end of the information's lifetime).

References

  1. 1.Baek, J., Kim, G., Yeo, J., and Yeom, H. Cost-Effective Mobile Agent Planning for Distributed Information Retrieval, The 21 st Int'l Conf. On Distributed Computing Systems (ICDCS-21), Phoenix, April 16-19 2001.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. 2.Brewington, B., Gray, R., Moizumi, K., Kotz, D., Cybenko, G., and Rus, D. Mobile agents in distributed information retrieval, In Intelligent Information Agents, pp.355-395, 1999.]]Google ScholarGoogle ScholarCross RefCross Ref
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          cover image ACM Conferences
          AGENTS '01: Proceedings of the fifth international conference on Autonomous agents
          May 2001
          662 pages
          ISBN:158113326X
          DOI:10.1145/375735

          Copyright © 2001 ACM

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 28 May 2001

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          AGENTS '01 Paper Acceptance Rate66of248submissions,27%Overall Acceptance Rate182of599submissions,30%

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