Stochastic Network Modeling (SNM)

Compulsary course of the Speciality Computer Networks and Distributed Systems of the Master in Innovation and Research in Informatics.

Important dates


Abstract:

The goal of this course is giving the student a background in stochastic processes and their application to computer networks. This is a methodological course that forms the student in mathematical stochastic modeling.

Methodology:

4 hours per week, dedicated to magistral classes to explain the theory and solve problems. The students activities will consist of reading material and solving practical problems that will be proposed during the course.
Timetable

Evaluation:

The theory mark will be calculated from the problems delivered by the student, assessment marks and a final exam mark. The formula for calculating the mark for the course is: where:

Teacher

Llorenç Cerdà-Alabern, llorencac.upc.edu
Office: C6-213
Tel: 93.401.67.98

Contents

  1. Discrete Time Markov Chains (DTMC)
  2. Continuous Time Markov Chains (CTMC)
  3. Queuing Theory

References