Form of learning:
Target group and prerequisites
This course teaches performance analysis of modern computer and communication systems.
- Recap of prerequisities
- Stochastics: Conditional expectation. Phase-type distributions. Reversibility. Regenerative processes.
- Single-server queues: M/G/1-FIFO queue. M/G/1-PS queue. Optimal scheduling problem. Applications.
- Multi-server queueing systems: Separability. Optimal dispatching problem. Applications.
- Queueing networks: Open queueing networks. Closed queueing networks. Applications.
- Resource sharing: Max-min fairness, Alpha-fairness, Balanced fairness. Applications.
After the course, the student
- is able to apply Markov processes and regenerative processes to model various computer and communication systems;
- is able to construct, analyse and optimise stochastic queueing models to evaluate the performance of the system;
- comprehends selected applications of the performance analysis of modern computer and communication systems.
Lecture slides (online)
- Lectures Tue and Thu at 9-12
- Exercises Wed at 16-18
- Exam on 1.6.2022 at 16.30–19.30
Examination (100%), exercises.
Application deadline: 11.4.2022.