GRAF: graph-based runtime adaptation framework

Authors:
Mahdi Derakhshanmanesh;Mehdi Amoui;Greg O'Grady;Jürgen Ebert;Ladan Tahvildari
Affiliations:
University of Koblenz-Landau, Koblenz, Germany;University of Waterloo, Waterloo, ON, Canada;University of Waterloo, Waterloo, ON, Canada;University of Koblenz-Landau, Koblenz, Germany;University of Waterloo, Waterloo, ON, Canada
Venue:
Proceedings of the 6th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
Year:
2011

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Abstract

One approach for achieving runtime adaptability in software is to use application frameworks that are tailored for the development of self-adaptive systems. In this paper, we present the Graph-based Runtime Adaptation Framework (GRAF), which enables adaptivity by creating, managing, and interpreting graph-based models of software at runtime. Having a generic graph representation in our approach allows for flexible adaptation via query and transformation operations. The framework is especially suited for the migration of legacy applications towards adaptive software and attempts to reduce necessary changes to the original software. As a proof of concept, we conduct a comprehensive case study of migrating the legacy game Jake2 to achieve runtime adaptivity using GRAF.