TM8102 - Traffic Analysis of Communication Networks

About

Lessons are not given in the academic year 2017/2018

Course content

The course is taught every second academic year, next time spring 2019.

The course addresses analysis and design of communication networks by means of queue and stochastic theory.

Topics are:
Queuing theory and network calculus. Model and problem formulations for communication networks. Source models and traffic characterization. Server models. Analysis of delay and loss, dimensioning of links and nodes, optimization. Strategies for traffic handling, scheduling, routing, and control.

Learning outcome

A. Knowledge: 1) A broad knowledge of network mechanisms contributing to the provision of quality of service in Internet networks. 2) An in-depth
understanding of analytical models and methods in describing, studying and understanding traffic and traffic handling in Internet networks, which include classical queueing analysis methods and network calculus.

B. Skills: 1) To be able to communicate, reason and creatively think about traffic issues in Internet networks. 2) To be able to quantitatively model and evaluate Internet networks with respect to quality of service guarantees using classic queueing theory and / or traffic theories for the Internet.

Learning methods and activities

Lectures, self study, colloquia, and assignments.
The assessment is based on a final report.
The grading rule is pass/fail. The minimum passing grade is 70/100 points (70%).

For the re-take exam, the form of the assessment may be changed to oral examination.

Course materials

Announced at the beginning of the course. Selections from text books and journal papers.

Credit reductions

Course code Reduction From To
DIE5935 7.5

Timetable

Detailed timetable

Examination

  • * The location (room) for a written examination is published 3 days before examination date.
If more than one room is listed, you will find your room at Studentweb.