Contrôle et Apprentissage

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    In brief

  • Code : N8EN18B

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

ModalitéNatureCoefficientRemarques
CT (contrôle terminal) Oral/Ecrit100%Examen Evaluation de Performance Avancée

Session 2 - Contrôle des connaissances

ModalitéNatureCoefficientRemarques
CT (contrôle terminal) Oral/Ecrit100%Examen Evaluation de Performance Avancée

Contact(s)

AYESTA MORATE URTZI

Contact

The National Institute of Electrical engineering, Electronics, Computer science,Fluid mechanics & Telecommunications and Networks

2, rue Charles Camichel - BP 7122
31071 Toulouse Cedex 7, France

+33 (0)5 34 32 20 00

Certifications

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