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The continuous evolution from software intensive systems to socio-technical ecosystems requires creative approaches where services and, interactions are implemented with awareness of, and dynamic adaptation to, not only the user and computational environment, but also changing policies and unknown requirements. In this endeavour, the capability of the system to adjust its behavior in response to its perception of the environment and the system itself in the form of fully or semi-automatic self-adaptation has become one of the most promising research directions. Consequently, understanding, modeling, acquiring, managing, and controlling dynamic computing systems is critical for implementing smart services and smart interactions effectively.
In this directed studies, we will explore design and evolution of dynamic computing systems. In particular, we will investigate how to monitor, analyze, and control dynamic computing systems. Moreover, we will study techniques for instrumenting existing systems to monitor and control dynamic computing systems.
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