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Adaptation Support for Agent Based Pervasive Systems

  • Kutila Gunasekera
  • Shonali Krishnaswamy
  • Seng Wai Loke
  • Arkady Zaslavsky
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 73)

Abstract

Pervasive computing systems execute in dynamic highly variable environments and need software that are context-aware and can adapt at runtime. Mobile agents are viewed as an enabling technology for building software for such environments due to their flexibility, migratory nature and scalability. This paper presents a novel approach which aims to further enhance this advantage by building compositionally adaptive mobile software agents that are also context-driven, component-based and have the ability to exchange their components with peer agents. We present the formal underpinnings of our approach and a decision making model which assists agent adaptation. We also describe our current implementation and experimental results to evaluate the benefits of the proposed approach.

Keywords

Mobile Agent Network Load Pervasive Computing Adaptation Decision Cost Element 
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

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2012

Authors and Affiliations

  • Kutila Gunasekera
    • 1
  • Shonali Krishnaswamy
    • 1
  • Seng Wai Loke
    • 2
  • Arkady Zaslavsky
    • 1
    • 3
  1. 1.Faculty of Information TechnologyMonash UniversityAustralia
  2. 2.Department of Computer Science & Computer EngineeringLa Trobe UniversityAustralia
  3. 3.Luleå University of TechnologySweden

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