Software Architecture-based Adaptation for Pervasive Systems

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

International Conference on Architecture of Computing Systems (ARCS'02): Trends in Network and Pervasive Computing, April 8-11, 2002. Published in Lecture Notes in Computer Science, Volume 2299, Schmeck, H., Ungerer, T., Wolf, L. (Eds).

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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 per-spective of the running system, apply analytic models to determine correct re-pair 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 performance-related criteria and models.

For further information, please visit the home pages of the ABLE research project and Carnegie Mellon University's Composable Systems Group.

Last modified: 10/21/2002. For comments and problems, contact