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Autonomic Computing and Networking pp 31–55Cite as

Software Architecture-Based Self-Adaptation

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Abstract

Increasingly, systems must have the ability to self-adapt to meet changes in their execution environment. Unfortunately, existing solutions require human oversight, or are limited in the kinds of systems and the set of quality-of-service concerns they address. Our approach, embodied in a system called Rainbow, uses software architecture models and architectural styles to overcome existing limitations. It provides an engineering approach and a framework of mechanisms to monitor a target system and its environment, reflect observations into a system’s architecture model, detect opportunities for improvement, select a course of action, and effect changes in a closed loop. The framework provides general and reusable infrastructures with well-defined customization points, allowing engineers to systematically customize Rainbow to particular systems and concerns.

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Acknowledgments

This material is based up work supported by the US Army Research Office (ARO) under grant number DAAD19-02-1-0389 (“Perpetually Available and Secure Information Systems”) to CarnegieMellon University’s Cylab, and NSF grants IIS0534656 (“Role of Architecture in Facilitating Design Collaboration”) and CNS-0615305 (“Activity-Oriented Computing”). Views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of any of these funding agencies.

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  1. Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, USA

    David Garlan, Bradley Schmerl & Shang-Wen Cheng

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  1. David Garlan
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  2. Bradley Schmerl
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  3. Shang-Wen Cheng
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Correspondence to David Garlan .

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    Garlan, D., Schmerl, B., Cheng, SW. (2009). Software Architecture-Based Self-Adaptation. In: Zhang, Y., Yang, L., Denko, M. (eds) Autonomic Computing and Networking. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-89828-5_2

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    • DOI: https://doi.org/10.1007/978-0-387-89828-5_2

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