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Evaluating the Effectiveness of the Rainbow Self-Adaptive System

Shang-Wen Cheng, David Garlan and Bradley Schmerl.


In ICSE 2009 Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS\'09), Vancouver, BC, Canada, 18-19 May 2009. Awarded Most Influential Paper for SEAMS 2009.

Online links: PDF

Abstract
Rainbow is a framework for engineering a system with run-time, self-adaptive capabilities to monitor, detect, decide, and act on opportunities for system improvement. We applied Rainbow to a system, Znn.com, and evaluated its effectiveness to self-adapt on three levels: its effectiveness to maintain quality attribute in the face of changing conditions, run-time overheads of adaptation, and the engineering effort to use it to add self-adaptive capabilities to Znn.com. We make Znn.com and the associated evaluation tools available to the community so that other researchers can use it to evaluate their own systems and the community can compare different systems. In this paper, we report on our evaluation experience, reflect on some principles for benchmarking self-adaptive systems, and discuss the suitability of our evaluation tools for this purpose.

Keywords: Benchmark, Rainbow.  
@InProceedings{Cheng:2009:benchmark/znn:seams,
      AUTHOR = {Cheng, Shang-Wen and Garlan, David and Schmerl, Bradley},
      TITLE = {Evaluating the Effectiveness of the Rainbow Self-Adaptive System},
      YEAR = {2009},
      MONTH = {18-19 May},
      BOOKTITLE = {ICSE 2009 Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS\'09), Vancouver, BC, Canada},
      PDF = {http://acme.able.cs.cmu.edu/pubs/uploads/pdf/ICSE2009_SEAMS_2528_Cheng_Shang-Wen.pdf},
      ABSTRACT = {Rainbow is a framework for engineering a system with run-time, self-adaptive capabilities to monitor, detect, decide, and act on opportunities for system improvement. We applied Rainbow to a system, Znn.com, and evaluated its effectiveness to self-adapt on three levels: its effectiveness to maintain quality attribute in the face of changing conditions, run-time overheads of adaptation, and the engineering effort to use it to add self-adaptive capabilities to Znn.com. We make Znn.com and the associated evaluation tools available to the community so that other researchers can use it to evaluate their own systems and the community can compare different systems. In this paper, we report on our evaluation experience, reflect on some principles for benchmarking self-adaptive systems, and discuss the suitability of our evaluation tools for this purpose.},
      NOTE = {Awarded Most Influential Paper for SEAMS 2009},
      KEYWORDS = {Benchmark, Rainbow}
}
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