course-details-portlet

TTM4110

Dependability and Performance with Discrete Event Simulation

Credits 7.5
Level Second degree level
Course start Autumn 2025
Duration 1 semester
Language of instruction English
Location Trondheim
Examination arrangement Portfolio assessment

About

About the course

Course content

The course gives a basic introduction to measurement, discrete event simulation, and analytic modelling for performance and dependability assessment.

Basics: Dependability, performance and QoS measures; resources and utilization, failure and repair, system models, analytic modeling, discrete and continuous distributions, basics on stochastic processes, Poisson process, discrete-state - continuous-time Markov models and analysis.

Simulation: process-oriented simulation, generation of random variables, problem analysis and model design, DEMOS/SIMULA primitives, output analysis.

Performance: Erlang and Engset blocking models, M/M/1 and Erlang queuing models, Jackson networks.

Dependability: reliability, availability and system time in simple redundant systems determined by Markov models, block schemes, fault-trees, structure functions, path and cut sets.

Measurements: observation strategies, point and interval estimation, design of experiments.

Learning outcome

A. Knowledge:

  1. To gain a basic understanding of the importance of non-functional requirements for service and system design.
  2. To gain a basic understanding of the principles of dependability and performance evaluation and design of information and communication systems (ICT).
  3. To gain a basic understanding of modeling, analysis and measurements for evaluation and dimensioning.
  4. To gain a basic understanding of probability theory, statistics, and stochastic processes in modeling ICT system's behavior.
  5. To gain a basic understanding of Markov modeling and solution of such models.
  6. To gain a basic understanding of process-oriented modeling and simulations.
  7. To gain a basic understanding of simulation and measurement methods.

B. Skills:

  1. To be able to specify the performance and dependability requirements.
  2. To be able to describe the system properties by using a Markov Model.
  3. To be able to determine the system properties symbolically and numerically from a Markov model.
  4. To be able to describe a simulation model, implementing a simulator and conduct a simulation experiment.
  5. To be able to derive system properties from the measurements, analytically and from simulation results.

The learning outcomes of this course are related to the assessment of large-scale, distributed ICT systems that are the backbone of digital infrastructures critical to society. The trustworthiness in that the systems and its services are provided in a robust and efficient manner, is directly related to the UN Sustainability Development Goals (SDG) 9 (Industry, Innovation and Infrastructure) - "Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation".

Learning methods and activities

Lectures and lab assignments in analytic evaluation techniques and in simulation. Optional self-tests and exercises.

Further on evaluation

Portfolio assessment is the basis for the grade in the course. The portfolio includes four lab assignments; (i) Simulation modelling, (ii) Simulations implementation and experiments, (iii) Performance modelling, and (iv) Dependability modelling. The students get a short, written feedback on each lab. The entire portfolio is assigned a letter grade.

Course materials

Peder J. Emstad, Poul E. Heegaard, Bjarne E. Helvik and Laurent Paquereau, Dependability and performance in information and communication systems. Fundamentals, 276 pages, Inst. for telematikk, 2016.

Graham Birtwisle: DEMOS-A system for Discrete Event Modelling on Simula.

Credit reductions

Course code Reduction From
SIE5015 7.5 sp
This course has academic overlap with the course in the table above. If you take overlapping courses, you will receive a credit reduction in the course where you have the lowest grade. If the grades are the same, the reduction will be applied to the course completed most recently.

Subject areas

  • Safety and Reliability
  • Telematics
  • Technological subjects

Contact information

Examination

Examination

Examination arrangement: Portfolio assessment
Grade: Letter grades

Ordinary examination - Autumn 2025

Portfolio assessment
Weighting 100/100 Exam system Inspera Assessment