Communication Networks: Theory (until SS2019)
(discontinued after SS 2019)
Schedule & Location
Date: Wed 10:15 - 12:45
Room: S1260
Start: 3 April 2019
Credits: 4 ECTS points - 3 credit hours
Course number: 01-03-CNT-V
Lecturer
Tutor
Content overview
This course gives a survey of methods used for the performance analysis of communication networks. After this course, you should be able to analyse simple communication protocols and networks.
The main topics are:
- Fundamentals of probability theory
- Graphs, random graphs and network flows
- Stochastic processes (SP)
- Markovian processes (MP)
- Finite state (Markovian) processes
- Simple queues and queuing networks
- Petri Nets
- Statistical model fitting and evaluation of performance data
- Traffic modelling and random number generators
- Discrete event simulation
Literature
- David Easley and Jon Kleinberg: “Networks, Crowds and Markets”, Cambridge University Press, 2010 (available online)
- Jean-Yves Le Boudec: “Performance Evaluation of Computer and Communication Systems”, EPFL Press, 2010 (available online)
- G.R. Dattatreya: “Performance Analysis of Queuing and Computer Networks”, CRC Press, 2008
- Jain, R.K. : The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling, John Wiley & Sons, 1991. Kleinrock L.: Queueing Systems. Vol I: Theory. John Wiley & Sons, 1975.
Efficiency Statement
Homeworks and oral examination