Autonomic Computing, International Conference on (2004)
New York, New York
May 17, 2004 to May 18, 2004
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICAC.2004.46
Shang-Wen Cheng , Carnegie Mellon University
An-Cheng Huang , Carnegie Mellon University
David Garlan , Carnegie Mellon University
Bradley Schmerl , Carnegie Mellon University
Peter Steenkiste , Carnegie Mellon University
Software-based systems today are increasingly expected to dynamically self-adapt to accommodate resource variability, changing user needs, and system faults. Recent work uses closed-loop control based on external models to monitor and adapt system behavior at run time. Taking this externalized approach, the Rainbow framework we have developed uses software architectural models to dynamically monitor and adapt a running system. A key goal and primary challenge of this framework is to support the reuse of adaptation strategies and infrastructure across different systems. In this poster, we show that the separation of a generic adaptation infrastructure from system-specific adaptation knowledge makes this reuse possible.
S. Cheng, A. Huang, D. Garlan, P. Steenkiste and B. Schmerl, "Rainbow: Architecture-Based Self-Adaptation with Reusable Infrastructure," Autonomic Computing, International Conference on(ICAC), New York, New York, 2004, pp. 276-277.