34348 Teletrafikteori: Queuing teori i praksis

2021/2022

Kursusinformation
Teletraffic engineering: Queuing theory in practice
Engelsk
5
Kandidat
Kurset udbydes som enkeltfag
E2A (man 13-17)
Campus Lyngby
Lectures, group work, databar exercises, guest lectures.
13-uger
E2A, F2A
Mundtlig eksamen og bedømmelse af rapport(er)
Oral exam 60% and reports 40 %
Alle hjælpemidler er tilladt
7-trins skala , ekstern censur
34340
34340/34342
02323 , Basic probability theory
Lars Dittmann , Lyngby Campus, Bygning 343, Tlf. (+45) 4525 3851 , ladit@dtu.dk
34 Institut for Fotonik
I studieplanlæggeren
Kontakt underviseren for information om hvorvidt dette kursus giver den studerende mulighed for at lave eller forberede et projekt som kan deltage i DTUs studenterkonference om bæredygtighed, klimateknologi og miljø (GRØN DYST). Se mere på http://www.groendyst.dtu.dk
Overordnede kursusmål
To practice the application of mathematical methods and models based on probability theory for performance evaluation of telecommunication and data communication systems and networks. This includes both switching systems and networks, as well as computer systems and data networks. This course focus on the modelling a queuing system mathematically and statistically, modelling the random evolution of queue lengths over time and calculating key performance indicators, such as an average delay or a loss probability.
Læringsmål
En studerende, der fuldt ud har opfyldt kursets mål, vil kunne:
  • Characterize traffic (arrival processes and service processes) by relevant parameters
  • Describe the basics of discrete time and continuous time Markov chains
  • Model simple queuing systems, e.g. M/M/1 or M/M/C/C queues
  • Apply state transition diagrams for modelling
  • Compute key performance indicators, such as an average delay, a resource utilization rate, or a loss probability
  • Optimize loss systems and evaluate relevant performance parameters
  • Optimize queueing systems and evaluate relevant performance parameters
  • Design queuing simulations with the Python language
Kursusindhold
This course introduce the fundamental mathematical tools that are necessary to characterize the queueing systems, and to understand the stochastic elements of the traffic process. Introduction of the modelling process and basic traffic concepts.
The course will start with loss systems and then delay system. The Markov chain in discrete time and continue time will be studied and compute its average performance metrics.
The course will include exercises for each lecture to assist your understanding of main concepts. Pratical coursework will be carried out using Python programming language. Equipped with these tools the average performance values like blocking probability or waiting delay can be calculated.
Bemærkninger
In continuation of the course is given an advanced course in the autumn semester. Textbook: V B Iversen: Teletraffic Engineering, DTU Fotonik 2011, 380 pp and additional texts on network planning.
Sidst opdateret
29. april, 2021