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Performance Evaluation of Personal Agent Migration Policies in an Ambient Use Case Scenario

  • E. Homayounvala
  • A. H. Aghvami
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3295)

Abstract

This paper investigates the impact of agent migration on the performance of personal agents in an ambient use case scenario. Four migration policies are proposed and a performance model, based on two quantitative performance metrics, network load and response time for processing the user request, is applied to compare the performance of the proposed migration policies. Scenario mapping to performance model and analytical results are also discussed in this paper. An agent emulator is designed and implemented in the Java programming language based on the Jatlite agent framework. The emulator is used to produce the experimental results of this study. It has been shown that, in this scenario, the policy in which a user agent follows the mobile user in the wired side of wireless network lowers the response time when the agent size is smaller than the reply size. However, when the reply size is smaller than the agent size, a simple stay-at-home policy outperforms the other three policies.

Keywords

Personal Agent Mobile Agent Mobile Terminal Network Load User Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • E. Homayounvala
    • 1
  • A. H. Aghvami
    • 1
  1. 1.Centre for Telecommunications ResearchKing’s College LondonLondon

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