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International Conference on Architecture of Computing Systems

ARCS 2002: Trends in Network and Pervasive Computing — ARCS 2002 pp 67–82Cite as

Software Architecture-Based Adaptation for Pervasive Systems

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2299))

Abstract

An important requirement for pervasive computing systems is the ability to adapt at runtime to handle varying resources, user mobility, changing user needs, and system faults. In this paper we describe an approach in which dynamic adaptation is supported by the use of software architectural models to monitor an application and guide dynamic changes to it. The use of externalized models permits one to make reconfiguration decisions based on a global perspective of the running system, apply analytic models to determine correct repair strategies, and gauge the effectiveness of repair through continuous system monitoring. We illustrate the application of this idea to pervasive computing systems, focusing on the need to adapt based on per- formance-related criteria and models.

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Author information

Authors and Affiliations

  1. School of Computer Science, Carnegie Mellon University, 5000 Forbes Ave, 15213, Pittsburgh, PA, USA

    Shang-Wen Cheng, David Garlan, Bradley Schmerl, João Pedro Sousa, Bridget Spitznagel, Peter Steenkiste & Ningning Hu

Authors
  1. Shang-Wen Cheng
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  2. David Garlan
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  3. Bradley Schmerl
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  4. João Pedro Sousa
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  5. Bridget Spitznagel
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  6. Peter Steenkiste
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  7. Ningning Hu
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Editor information

Editors and Affiliations

  1. Inst.of Applied Informatics and Formal Description Methods - AIFB, University of Karlsruhe (TH), 76128, Karlsruhe, Germany

    Hartmut Schmeck

  2. Institute of Informatics, University of Augsburg, 86159, Augsburg, Germany

    Theo Ungerer

  3. Inst.of Telematics, Faculty of Informatics and Computing Center, University of Karlsruhe (TH), Zirkel 2, 76128, Karlsruhe, Germany

    Lars Wolf

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© 2002 Springer-Verlag Berlin Heidelberg

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Cheng, SW. et al. (2002). Software Architecture-Based Adaptation for Pervasive Systems. In: Schmeck, H., Ungerer, T., Wolf, L. (eds) Trends in Network and Pervasive Computing — ARCS 2002. ARCS 2002. Lecture Notes in Computer Science, vol 2299. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45997-9_7

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  • DOI: https://doi.org/10.1007/3-540-45997-9_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43409-2

  • Online ISBN: 978-3-540-45997-2

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