The importance of mobile services in our everyday life is growing while at the same time new interoperability issues arise due to hardware and software heterogeneity. Therefore, new architectural paradigms and models are needed to enhance software engineering methodologies with regard to platform independence and interoperability. This paper describes an UML pattern based approach for developing reconfigurable autonomous mobile services. Through the analysis of an mcommerce project, the relevance of our proposed architecture will be explained. Our focus lays on a generic reconfiguration mechanism based on profile matching from software modules. This profiling part will be further described and discussed. Finally, the applicability of our approach is investigated within a project about reconfigurable indoor navigation computers and a project about robot assisted sensor networks.
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1 August 2007
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Technical Paper|
August 01 2007
An adaptive model for reconfigurable autonomous services using profiling
Sébastien Truchat;
Sébastien Truchat
University of Erlangen‐Nuremberg, Department of Computer Science 7, Martensstr. 3, 91058 Erlangen, Germany
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Gerhard Fuchs;
Gerhard Fuchs
University of Erlangen‐Nuremberg, Department of Computer Science 7, Martensstr. 3, 91058 Erlangen, Germany
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Falko Dressler;
Falko Dressler
University of Erlangen‐Nuremberg, Department of Computer Science 7, Martensstr. 3, 91058 Erlangen, Germany
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Steffen Meyer
Steffen Meyer
Fraunhofer Institute for Integrated Circuits IIS, Project group Interoperative Systems, Nordostpark 93, 90411 Nuremberg, Germany
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Publisher: Emerald Publishing
Online ISSN: 1742-738X
Print ISSN: 1742-7371
© Emerald Group Publishing Limited
2006
International Journal of Pervasive Computing and Communications (2007) 2 (3): 247–260.
Citation
Truchat S, Fuchs G, Dressler F, Meyer S (2007), "An adaptive model for reconfigurable autonomous services using profiling". International Journal of Pervasive Computing and Communications, Vol. 2 No. 3 pp. 247–260, doi: https://doi.org/10.1108/17427370780000154
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