Under Control: A Control Theory Introduction for Computer Scientists

• Published in: 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) pp. 130 - 139
• Main Authors: Guilloteau, Quentin, Cerf, Sophie, Bleuse, Raphael, Robu, Bogdan, Rutten, Eric
• Format: Conference Proceeding
• Language: English
• Published: IEEE 16.09.2024
• Subjects: autonomic computing; Browsers; Computational modeling; control of computing systems; Control theory; Distributed computing; feedback management; Knowledge engineering; Programming; Runtime; Tutorials; Uniform resource locators
• DOI: 10.1109/ACSOS-C63493.2024.00044

This hands-on tutorial aims at introducing the basis of Control Theory, applied to the runtime management of computing systems, through a practical example. This tutorial is composed of two parts. In the first part, we present the motivation and classical tools of Control Theory: formulation, modeling, and controllers. During the second part, the participants will experiment with the concepts presented in the first part through interactive computational documents, via a Jupyter Notebook. Attendees will need a computer with an internet connection and a "recent" web browser, and only basic programming knowledge. The tutorial is available at the following URL: https://control-for-computing.gitlabpages.inria.fr/tutorial/