On group formation for self-adaptation in pervasive systems

Daniel Minder; Andreas Grau; Pedro José Marrón

1st International ICST Conference on Autonomic Computing and Communication Systems

Research Article

On group formation for self-adaptation in pervasive systems

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@INPROCEEDINGS{10.4108/ICST.AUTONOMICS2007.2255,
    author={Daniel Minder and Andreas Grau and Pedro Jos\^{e} Marr\^{o}n},
    title={On group formation for self-adaptation in pervasive systems},
    proceedings={1st International ICST Conference on Autonomic Computing and Communication Systems},
    publisher={ICST},
    proceedings_a={AUTONOMICS},
    year={2007},
    month={10},
    keywords={},
    doi={10.4108/ICST.AUTONOMICS2007.2255}
}

Daniel Minder
Andreas Grau
Pedro José Marrón
Year: 2007
On group formation for self-adaptation in pervasive systems
AUTONOMICS
ICST
DOI: 10.4108/ICST.AUTONOMICS2007.2255

Daniel Minder¹^,*, Andreas Grau²^,*, Pedro José Marrón¹^,*

1: Universität Bonn Institut für Informatik IV Römerstr. 164 53117 Bonn, Germany
2: Universität Stuttgart Institut für Parallele und Verteilte Systeme Universitätsstr. 38 70569 Stuttgart, Germany

*Contact email: minder@cs.uni-bonn.de, andreas.grau@ipvs.unistuttgart._de, pjmarron@cs.unibonn._de

Abstract

Adaptation in Pervasive Computing normally focuses on services or on application behaviour, but the consideration of lower level algorithms in this process can lead to significant performance increase. To perform adaptation of algorithms the concept of context normally used in Pervasive Computing has to be extended. Based on the same context, group formation models are established to group devices with similar relevant context to optimise the adaptation process. In this paper, such group formation models are developed and evaluated. We also draw general conclusions for adaptation.

Published: 2007-10-27
Publisher: ICST
Modified: 2011-08-22

: http://dx.doi.org/10.4108/ICST.AUTONOMICS2007.2255