TLT-2716 TELETRAFFIC THEORY I, 3-6 cr
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Courses persons responsible
Evgeny Kucheryavy
Lecturers
Dmitri Moltchanov
Lecturetimes and places
Per I,II: Thursday 16 - 18, TB223
Implementations
Period 1 | Period 2 | Period 3 | Period 4 | Period 5 | Summer | |
Lecture | 2 h/week | 2 h/week | - | - | - | - |
Exercise | - | 2 h/week | - | - | - | - |
Exam |
Objectives
The aim of the course is to provide knowledge of queuing theory ¿ a basic tool for performance evaluation studies of packet switched networks.
Content
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | Introduction to queuing theory:
Basics of probability theory Basics of stochastic processes Markovian stochastic processes in discrete and continuous time Arrival and service processes in queuing theory |
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2. | Basic queuing theory:
Little¿s result Queuing systems of M/M/C/K/N type |
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3. | Intermediate queuing theory:
M/G/1 queuing system: residual lifetime and imbedded Markov chain approaches M/G/1 queuing system: method of supplementary variables G/M/1 queuing system: residual lifetime and imbedded Markov chain approaches |
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Requirements for completing the course
Successfull pass of examination
Evaluation criteria for the course
Study material
Type | Name | Auhor | ISBN | URL | Edition, availability... | Exam material | Language |
Book | Queuing systems | Kleinrock L. | available in the TUT library | Yes | English |
Prerequisites
Code | Course | Credits | M/R |
TLT-2106 | TLT-2106 Basic Course on Networking | 5 | Mandatory |
Prequisite relations (Sign up to TUT Intranet required)
Additional information about prerequisites
Basic understanding of networking is necessary. Knowledge of probability theory and theory of stochastic processes is recommendable.
Remarks
Scaling
Methods of instruction | Hours |
Lectures | 90 |
Exercises | 36 |
Assignments | 11 |
Total sum | 137 |
Correspondence of content
8303700 Teletraffic theory I
Last modified | 10.02.2007 |
Modified by | Jarmo Harju |