Mechanisms for leveraging models at runtime in self-adaptive software

Bennaceur, Amel; France, Robert B.; Tamburrelli, Giordano; Vogel, Thomas; Mosterman, Pieter J.; Cazzola, Walter; Costa, Fábio M.; Pierantonio, Alfonso; Tichy, Matthias; Akşit, Mehmet; Emmanuelson, Pär; Gang, Huang; Georgantas, Nikolaos and Redlich, David (2014). Mechanisms for leveraging models at runtime in self-adaptive software. In: Bencomo, Nelly; France, Robert B.; Cheng, Betty H. and Assmann, Uwe eds. Models@run.time: Foundations, Applications, and Roadmaps. Lecture Notes in Computer Science (8378). Cham: Springer, pp. 19–46.

DOI: https://doi.org/10.1007/978-3-319-08915-7_2

URL: http://www.springer.com/computer/swe/book/978-3-31...

Abstract

Modern software systems are often required to adapt their behavior at runtime in order to maintain or enhance their utility in dynamic environments. Models at runtime research aims to provide suitable abstractions, techniques, and tools to manage the complexity of adapting software systems at runtime. In this chapter, we discuss challenges associated with developing mechanisms that leverage models at runtime to support runtime software adaptation. Specifically, we discuss challenges associated with developing effective mechanisms for supervising running systems, reasoning about and planning adaptations, maintaining consistency among multiple runtime models, and maintaining fidelity of runtime models with respect to the running system and its environment. We discuss related problems and state-of-the-art mechanisms, and identify open research challenges.

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