Contrôle et Apprentissage
Objectives
The objective is, first, to learn how to analyze and evaluate the performance of computer systems based on stochastic models.
Description
We will first study Markov decision processes, which is a general framework for optimizing stochastic models, and in particular Markov chains. We will then study the performance of the most important scheduling policies in practice. We will finish by studying the allocation of resources in networks, with particular attention to TCP
Bibliography
- Srikant, R. and Ying, Lei, Communication Networks: An Optimization, Control and Stochastic Networks Perspective, Cambridge University Press (2014)
- M. Harchol-Balter, Performance Modeling and Design of Computer Systems: Queueing Theory in Action, Cambridge University Press, 2013
- S. Ross, Introduction to stochastic dynamic programming, Academic Press, 1983
Session 1 ou session unique - Contrôle des connaissances
Modalité | Nature | Coefficient | Remarques |
---|---|---|---|
CT (contrôle terminal) | Oral/Ecrit | 100% | Examen Evaluation de Performance Avancée |
Session 2 - Contrôle des connaissances
Modalité | Nature | Coefficient | Remarques |
---|---|---|---|
CT (contrôle terminal) | Oral/Ecrit | 100% | Examen Evaluation de Performance Avancée |