2nd Grenoble Workshop on Autonomic Computing and Control

Organisé par : 
Eric Rutten, INRIA - Bogdan Robu, Stéphane Mocanu, Gipsa-lab

Information détaillée : 

At Grenoble campus : GIPSA-lab, 2nd floor B208 (bâtiment B)

Supported by the STAARS (Supervisory Techniques for Autonomic, Adaptive and Reconfigurable Systems) projet exploratoire of the LabEx Persyval-lab.

Please make free registration for lunch BEFORE 27 October 2014 on : http://www.gipsa-lab.grenoble-inp.fr/projet2/staars/.

This workshop follows the first edition from May 27th, 2014, with presentations from different points of view on the topic, from software architectures to Control Theory approaches.

Final program:

  • 9.30 - Eric Rutten : Introduction
  • 9.45 - Danny Weyns (Linnaeus University, Sweden) : "Applying principles from control theory to engineer self-adaptive software systems"
  • 10.30 - Antonio Filieri (Stuttgart U., Germany) : "Automated Control for Self-Adaptive Software Design"
  • 11.15 - Break and chatting
  • 11.30 - Daniel Simon (LIRMM, Montpellier) : "Mating control and computing"
  • 12.15 - Ludovic Henrio (I3S/Inria, Sophia-Antipolis) : "Programming and Verifying Distributed and Adaptable Autonomous Components with GCM/ProActive"
  • 13.00 - Break and lunch
  • 14.00 - Maxime Louvel & François Pacull (CEA LETI) : "Resource based coordination middleware, in the context of autonomic computing"
  • 14.45 - Fabienne Boyer & Olivier Gruber (LIG Grenoble) : "Robust Reconfiguration Protocol for Component Assemblies"
  • 15.30 - Break and chatting
  • 16.00 - Frederico Alvares & Eric Rutten (INRIA Grenoble) & Lionel Seinturier (LIFL / INRIA Lille) : "High-level language support for the control of reconfigurations in component-based architectures"
  • 16.45 - All : Discussion
  • 17.30 - Eric Rutten : Closing
Résumé : 
Adaptive and reconfigurable computing systems are becoming widespread, and have the particularity 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 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.