TM8102 - Traffic Analysis of Communication Networks
Lessons are not given in the academic year 2017/2018
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.
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.
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.
Recommended previous knowledge
TTM4158 Dependability and Performance Design or equivalent.
Announced at the beginning of the course. Selections from text books and journal papers.
- * The location (room) for a written examination is published 3 days before examination date.