Course Catalog 2006-2007

TLT-2706 TRAFFIC MODELING AND NETWORK SIMULATION TECHNIQUES, 6 cr
Traffic Modeling and Network Simulation Techniques

Courses persons responsible
Jarmo Harju
Evgeny Kucheryavy

Lecturers
Dmitri Moltchanov

Lecturetimes and places
Per I,II: Wednesday 16 - 18, TB222

Implementations
Person responsible: Evgeny Kucheryavy
  Period 1 Period 2 Period 3 Period 4 Period 5 Summer
Lecture 2 h/week 2 h/week - - - -
Exercise work 1 h/week 1 h/week - - - -
Exam  
(Timetable for academic year 2006-2007)

Objectives
This course is devoted to those interested in traffic measurements, statistical analysis and further modeling, and theoretical and practical aspects of simulation of telecommunications networks and systems for network performance evaluation, optimization and control. The course is divided into four parts. In the first part (1 lecture) the knowledge of probability, statistics and stochastic processes required to understand the content of the course is given. In the second part (5 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 mostly known traffic models for both circuit-switched and packet-switched networks, show their fundamental properties and limitations and demonstrate their applicability. In the third part (5 lectures) we consider basic principles of discrete event simulation and put a major attention on setup of simulations, collection and analysis of output results. Well-known network simulation packages, including ns2 and OPNET, are also considered. The attention is also paid to simulation of Markov chains that is of major importance in analysis of computer networks and systems. Examples of dimensioning of circuit-switching and packet switching systems illustrating considered steps in traffic modeling and network simulation are considered in the final part (1 lecture).

Content
Content Core content Complementary knowledge Specialist knowledge
1. Part I: Probability refresher:L

Elements of probability and statistics
 		      
2. Part II: Traffic modeling:
Traffic concept and traffic measurements
Renewal traffic models and their properties
Non-renewal traffic models and their properties
Traffic modeling in circuit-switched networks
Traffic modeling in packet-switched networks
 		      
3. Part III: Simulation of telecommunications networks and systems:
Discrete-event simulations
Random numbers generators and associated tests
Collection of data and analysis of results
Network simulation packages
Simulation of Markov chains

 		      
4. Part IV: Case studies:
Examples of the usage
 		      

Requirements for completing the course
Successfull pass of examination, completion of exercise work.

Evaluation criteria for the course

  • Course is evaluated based on the following: Lecture attendance Completion of assignments Examination Credit points: 4-6 credit points 4 CP: lecture attendance, successful examination 1 CP per a project work IMPORTANT: no credit points are given if exam is not passed.

  • Used assessment scale is numeric (1-5)

    • Prerequisites
    Prequisite relations (Sign up to TUT Intranet required)

    Additional information about prerequisites
    No formal prerequisites. Basic understanding of computers, computing and computer networking is assumed, and knowledge of probability theory is helpful.

    Remarks

    This course could be of a great help for those taking Teletraffic theory courses.

  • Partial passing of course must be in connection with the same round of implementation.

    • Scaling
    Methods of instructionHours
    Lectures 80
    Exercises 48
    Assignments 25
    Total sum 153

    Course homepage

    Last modified 22.04.2006
    Modified byJarmo Harju