Under Control: A Control Theory Introduction for Computer Scientists

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, modeli...

Full description

Saved in:
Bibliographic Details
Published in2024 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
LanguageEnglish
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
Online AccessGet full text
DOI10.1109/ACSOS-C63493.2024.00044

Cover

More Information
Summary: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/
DOI:10.1109/ACSOS-C63493.2024.00044