• Title/Summary/Keyword: Adaptive Gain Factor

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Adaptive Migration Path Technique of Mobile Agent Using the Metadata of Naming Agent (네이밍 에이전트의 메타데이터를 이용한 이동 에이전트의 적응적 이주 경로 기법)

  • Kim, Kwang-Jong;Ko, Hyun;Lee, Yon-Sik
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.3
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    • pp.165-175
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    • 2007
  • The mobile agent executes a given task by which the agent code moves to the server directly. Therefore, node migration method becomes an important factor which impact on the whole performance of distributed system. In this paper, we propose an adaptive migration path technique of mobile agent using the metadata of naming agent. In this proposed technique, node selection for migration depends on the content of referenced metadata, and the reliability of migrated information is determined by the metadata updating method and cooperative operations of individual agents in multi-agents system. For these, we design the metadata using by the number of hit documents, hit ratio, node processing time and network delay time, and describe the methods for creating, using and updating metadata for which determine the adaptive node migration path of mobile agent according to the cooperation of individual agents and number of hit documents using by designed metadata. And results of evaluated performance for proposed adaptive migration path technique through the proper experiment and analysis gain rate of high effective information earning, because of high hit ratio(72%) about of fathered documents by case of applying metadata move to the 13 nodes. But, in case of non-applying metadata is hit ratio(46%) of gathered documents and rate of effective information earning about of 26 nodes is 36.8%.

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