Adaptive and reconfigurable computing systems are becoming widespread, in different areas such as Cloud computing, High-Performance Computing, or Smart Environments in the Internet of Things. Their particularity is to be able to change their computing structure dynamically, in response to changes in their environment or execution platform. Motivations for the adaptivity are found in resource management, energy efficiency, or functionality. Autonomic Computing in an approach to automate the management of adaptation with feedback loops, with a better handling of complexity and responsiveness. The design of the reconfiguration controllers requires methods, models and tools, in order to have safe and predictable behaviors of the automated systems, for which Control Theory provides an effective background.
This workshop is supported by the HPES (High-Performance Embedded Systems)
équipe action of the LabEx PERSYVAL-Lab
This workshop follows three previous editions in may and november 2014, and november 2015
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