Runtime efficiency of adaptive mobile software agents in pervasive computing environments

  • Authors:

  • Kutila Gunasekera;Shonali Krishnaswamy;Seng Wai Loke;Arkady Zaslavsky

  • Affiliations:

  • Monash University, Melbourne, Australia;Monash University, Melbourne, Australia;La Trobe University, Melbourne, Australia;Luleå University of Technology, Luleå, Sweden

  • Venue:
  • Proceedings of the 2009 international conference on Pervasive services
  • Year:
  • 2009

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Abstract

Developing software that can support heterogeneous hardware platforms, adapt to dynamic highly variable environments and meet rapidly changing requirements is a challenge of pervasive computing. Dynamic adaptive software agents are a promising approach to develop software for such environments. We previously proposed an agent architecture which brings together features such as runtime adaptivity, agent mobility, platform-independence, context-awareness and lightweightness which are desirable in pervasive environments. In this paper, we propose and analyse a cost model of network load for our runtime adaptive mobile software agents. We compare our adaptive agents against standard non-adaptive mobile agents using this cost model. Subsequent experimental results demonstrate that our agents outperform non-adaptive mobile agents. We also propose and discuss further features which make our adaptive agent based software solution more suitable for pervasive computing environments.