Aller au menu Aller au contenu
Academics
Academics
Academics

> Academics > Engineering Programs

- 3AMMA332

A+Augmenter la taille du texteA-Réduire la taille du texteImprimer le documentEnvoyer cette page par mail Partagez cet article Facebook Twitter Linked In Google+ Viadeo
  • Number of hours

    • Lectures : 13.5
    • Tutorials : 12.0
    ECTS : 2.5

Goals

  • To be able to build stochastic models with Poisson process, Markov chains and queues
  • To be able to identify Markovian processes and analyze its main characterizations and performance indexes
  • To be able to understand Kendall notations, build queues models and analyze the global performances of a network of Markovian queues
Contact Laurent LEFEVRE

Content

  1. Poisson Process
  2. Discrete time Markov chains
  3. Coninuous time Markov chains
  4. Queuing theory: elementary queues
  5. Queuing theory: networks


Prerequisites

Any undergraduate courses in:

  1. linear algebra (including matrix computation and analysis)
  2. probability (including discrete and continuous laws and convergence theorems)

Tests



Additional Information

Curriculum->Network and computer science->Semester 2
Curriculum->EIS ->Semester 2

Bibliography

  • Queuing networks and Markov chains, Gunter BOLCH, Stefan GREINER, Hermann DE MEER and Kishor S. TRIVEDI, Wiley, 2006 (second edition)
  • Théorie des files d'attente, des chaînes de Markov aux réseaux à forme produit. Bruno BAYNAT, Hermes, 2000
  • Processus stochastiques. Dominique FOATA et Aimé FUCHS, Dunod, 2002
  • Processus de Markov et applications, Etienne Pardoux, Dunod, 2007

A+Augmenter la taille du texteA-Réduire la taille du texteImprimer le documentEnvoyer cette page par mail Partagez cet article Facebook Twitter Linked In Google+ Viadeo

Date of update June 25, 2015

French
ESISAR
Grenoble INP - Esisar
50 rue Barthélémy de Laffemas CS 10054
​​​​​​​26902 Valence Cedex 09 - France
Tél : 04 75 75 94 00 - Fax : 04 75 43 56 42
 
 
        
Grenoble INP Institut d'ingénierie Univ. Grenoble Alpes