Analytical Performance Evaluation of Communication Networks

The lecture provides students with knowledge and skills in the analytical performance evaluation of communication networks. The module focuses on quantitative methods for modeling, analyzing, and dimensioning communication systems, with an emphasis on queueing theory and network calculus, and prepares students to rigorously assess the performance of modern networked infrastructures.
 
Lecture Contents:
  • Traffic theory models

  • Basic concepts of probability theory

  • Transformation methods

  • Stochastic processes

  • Methodology for performance analysis of technical systems

  • Queuing/traffic theory

  • Analysis of Markovian, non-Markovian, and discrete-time systems

  • Matrix analysis method

  • Network calculus

  • Linear optimization

  • Application examples for performance analysis of computer systems and networks: throughput and turnaround time analysis, and other characteristics

 

Lecture:
  • Lecturer:  Prof. Dr. Michael Seufert
  • Time and Location: Wed: 12:15-13:45, Room: 1054 N
  • First Lecture Date: Wednesday 15.04.2026
 
Exercise:

 

All course related information can be found on  digicampus.

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