Reference:
Thomas Vogel and Holger Giese, "Model-Driven Engineering of Self-Adaptive Software with EUREMA", ACM Trans. Auton. Adapt. Syst., vol. 8, no. 4, pp. 18:1-18:33, January 2014.
Abstract:
The development of self-adaptive software requires the engineering of an adaptation engine that controls the underlying adaptable software by feedback loops. The engine often describes the adaptation by runtime models representing the adaptable software and by activities such as analysis and planning that use these models. To systematically address the interplay between runtime models and adaptation activities, runtime megamodels have been proposed. A runtime megamodel is a specific model capturing runtime models and adaptation activities. In this article, we go one step further and present an executable modeling language for ExecUtable RuntimE MegAmodels (EUREMA) that eases the development of adaptation engines by following a model-driven engineering approach. We provide a domain-specific modeling language and a runtime interpreter for adaptation engines, in particular feedback loops. Megamodels are kept alive at runtime and by interpreting them, they are directly executed to run feedback loops. Additionally, they can be dynamically adjusted to adapt feedback loops. Thus, EUREMA supports development by making feedback loops explicit at a higher level of abstraction and it enables solutions where multiple feedback loops interact or operate on top of each other and self-adaptation co-exists with offline adaptation for evolution.
Links:
@Article{VG-TAAS-EUREMA,
AUTHOR = {Vogel, Thomas and Giese, Holger},
TITLE = {{Model-Driven Engineering of Self-Adaptive Software with
EUREMA}},
YEAR = {2014},
MONTH = {January},
JOURNAL = {ACM Trans. Auton. Adapt. Syst.},
VOLUME = {8},
NUMBER = {4},
PAGES = {18:1-18:33},
URL = {http://dx.doi.org/10.1145/2555612},
ABSTRACT = {The development of self-adaptive software requires the
engineering of an adaptation engine that controls the underlying
adaptable software by feedback loops. The engine often describes the
adaptation by runtime models representing the adaptable software and
by activities such as analysis and planning that use these models. To
systematically address the interplay between runtime models and
adaptation activities, runtime megamodels have been proposed. A runtime
megamodel is a specific model capturing runtime models and adaptation
activities. In this article, we go one step further and present
an executable modeling language for ExecUtable RuntimE MegAmodels
(EUREMA) that eases the development of adaptation engines by following
a model-driven engineering approach. We provide a domain-specific
modeling language and a runtime interpreter for adaptation engines,
in particular feedback loops. Megamodels are kept alive at runtime
and by interpreting them, they are directly executed to run feedback
loops. Additionally, they can be dynamically adjusted to adapt feedback
loops. Thus, EUREMA supports development by making feedback loops
explicit at a higher level of abstraction and it enables solutions
where multiple feedback loops interact or operate on top of each other
and self-adaptation co-exists with offline adaptation for evolution.}
}
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