Course Catalog 2009-2010 Postgraduate Basic Pori International Postgraduate Open University |Degrees|     |Study blocks|     |Courses|

Person responsible

Dmitri Moltchanov

Implementations

No implementations

Requirements

Lectures, exercises, exam.
Completion parts must belong to the same implementation

Principles and baselines related to teaching and learning

-

Learning outcomes

This course is devoted to those interested in traffic measurements, statistical analysis, and modeling. The course is divided into two parts. In the first part (3 lectures) the knowledge of probability, statistics and stochastic processes required to understand the content of the course is given. In the second part (7 lectures) we consider the concept of traffic in circuit-switched and packet-switched networks as well as traffic measurements in these networks. Then, we cover well-known traffic models for both circuit-switched and packet-switched networks, show their fundamental properties and limitations and demonstrate their applicability.

Content

Content	Core content	Complementary knowledge	Specialist knowledge
1.	Background information Introduction Reminder of probability Reminder of stochastic processes Reminder of statistics
2.	Traffic modeling Traffic concept and traffic measurements Basic principles of traffic modeling Representation of the arrival processes Renewal traffic models Markovian models Autoregressive models Fluid flow models Long-range dependent, self-similar and non-stationary models Traffic modeling in circuit-switched networks Traffic modeling in packet-switched networks

Evaluation criteria for the course

The course is evaluated based on: Examination Assignments

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course

Partial passing:

Completion parts must belong to the same implementation

Prerequisites

Correspondence of content

Last modified	09.11.2009
Modifier	Virpi Hämäläinen