Control Strategies for Self-Adaptive Software Systems (bibtex)
by , , , , , , , , , , , , , , , , ,
Abstract:
The pervasiveness and growing complexity of software systems is challenging software engineering to design systems that can adapt their behavior to withstand unpredictable, uncertain, and continuously changing execution environments. Control theoretical adaptation mechanisms received a growing interest in the last years for their mathematical grounding allowing formal guarantees on the behavior of the controlled systems. However, most of these mechanisms are tailored to specific applications and can hardly be generalized into a systematic design process. This paper discusses a reference control design process, from goal identification to the verification and validation of the controlled system. A taxonomy of the main control strategies is introduced, analyzing their applicability to software adaptation for both functional and non-functional goals. A brief extract on how to deal with uncertainty complements the discussion. Finally, the paper highlights a set of open challenges, both for the software engineering and the control theory research communities.
Reference:
Control Strategies for Self-Adaptive Software Systems (Antonio Filieri, Martina Maggio, Konstantinos Angelopoulos, Nicolas D'Ippolito, Ilias Gerostathopoulos, Andreas Berndt Hempel, Henry Hoffmann, Pooyan Jamshidi, Evangelia Kalyvianaki, Cristian Klein, Filip Krikava, Sasa Misailovic, Alessandro Vittorio Papadopoulos, Suprio Ray, Amir Molzam Sharifloo, Stepan Shevtsov, Mateusz Ujma, Thomas Vogel), In ACM Trans. Auton. Adapt. Syst., volume 11, 2017.
Bibtex Entry:
@Article{Filieri+2017,
AUTHOR = {Filieri, Antonio and Maggio, Martina and Angelopoulos, Konstantinos and D'Ippolito, Nicolas and Gerostathopoulos, Ilias and Hempel, Andreas Berndt and Hoffmann, Henry and Jamshidi, Pooyan and Kalyvianaki, Evangelia and Klein, Cristian and Krikava, Filip and Misailovic, Sasa and Papadopoulos, Alessandro Vittorio and Ray, Suprio and Sharifloo, Amir Molzam and Shevtsov, Stepan and Ujma, Mateusz and Vogel, Thomas},
TITLE = {{Control Strategies for Self-Adaptive Software Systems}},
YEAR = {2017},
JOURNAL = {ACM Trans. Auton. Adapt. Syst.},
VOLUME = {11},
NUMBER = {4},
PAGES = {24:1--24:31},
URL = {http://doi.org/10.1145/3024188},
ABSTRACT = {The pervasiveness and growing complexity of software systems is challenging software engineering to design systems that can adapt their behavior to withstand unpredictable, uncertain, and continuously changing execution environments. Control theoretical adaptation mechanisms received a growing interest in the last years for their mathematical grounding allowing formal guarantees on the behavior of the controlled systems. However, most of these mechanisms are tailored to specific applications and can hardly be generalized into a systematic design process. This paper discusses a reference control design process, from goal identification to the verification and validation of the controlled system. A taxonomy of the main control strategies is introduced, analyzing their applicability to software adaptation for both functional and non-functional goals. A brief extract on how to deal with uncertainty complements the discussion. Finally, the paper highlights a set of open challenges, both for the software engineering and the control theory research communities.}
}
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