Adaptation Support for Agent Based Pervasive Systems

Kutila Gunasekera; Shonali Krishnaswamy; Seng Loke; Arkady Zaslavsky

Mobile and Ubiquitous Systems: Computing, Networking, and Services. 7th International ICST Conference, MobiQuitous 2010, Sydeny, Australia, December 6-9, 2010, Revised Selected Papers

Research Article

Adaptation Support for Agent Based Pervasive Systems

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@INPROCEEDINGS{10.1007/978-3-642-29154-8_8,
    author={Kutila Gunasekera and Shonali Krishnaswamy and Seng Loke and Arkady Zaslavsky},
    title={Adaptation Support for Agent Based Pervasive Systems},
    proceedings={Mobile and Ubiquitous Systems: Computing, Networking, and Services. 7th International ICST Conference, MobiQuitous 2010, Sydeny, Australia, December 6-9, 2010, Revised Selected Papers},
    proceedings_a={MOBIQUITOUS},
    year={2012},
    month={10},
    keywords={},
    doi={10.1007/978-3-642-29154-8_8}
}

Kutila Gunasekera
Shonali Krishnaswamy
Seng Loke
Arkady Zaslavsky
Year: 2012
Adaptation Support for Agent Based Pervasive Systems
MOBIQUITOUS
Springer
DOI: 10.1007/978-3-642-29154-8_8

Kutila Gunasekera¹^,*, Shonali Krishnaswamy¹^,*, Seng Loke²^,*, Arkady Zaslavsky^,*

1: Monash University
2: La Trobe University

*Contact email: kutila.gunasekera@monash.edu, shonali.krishnaswamy@monash.edu, S.Loke@latrobe.edu.au, arkady.zaslavsky@ltu.se

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.

Published: 2012-10-10

: http://dx.doi.org/10.1007/978-3-642-29154-8_8