Self-managing or autonomic computing systems are answering to the need to address dynamic variations in the computing, memory or communication loads, as well as in their environment, the evolutions in their computing infrastructure (shared or subject to faults) or (re)adaptations of their initial functionalities. Their administration, usually performed by human administrators, needs to be automated in order to be efficient, safe and highly reactive. The Autonomic Computing paradigm using self-manageable closed loops emerged in the early 2000, targeting distributed system and addressing these questions from a computer science point of view. A particularly insightful way of building such control loops is to use control systems theory, which employs a large spectrum of modelling, estimation and control techniques (continuous, discrete, stochastic), classically applied mostly to electro-mechanical, physical systems, but much less usually to computing systems.
The aim of this Summer School is to offer the opportunity of a scientific forum from control systems, informatics, distributed systems, around the various challenges and methodologies dedicated to the control of computing systems. To this end, domain experts will be present to share their expertise and cutting-edge research results.
