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Performance analysis
Individual course
This course teaches performance analysis of modern computer and communication systems.
Course contents
- 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.
Learning outcomes
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.
Course material
Lecture slides (online)
Teaching schedule
- Lectures Tue and Thu at 9-12
- Exercises Wed at 16-18
- Exam on 1.6.2022 at 16.30–19.30
Completion methods
Examination (100%), exercises
More information in the Aalto University study guide.
You can get a digital badge after completing this course.
Responsible teacher
Aalto University
Samuli Aalto
samuli.aalto(at)aalto.fi
Contact person for applications
FITech Network University
Fanny Qvickström, Student services specialist
info(at)fitech.io
Application period has ended
Category:
ICT Studies
Topics:
5G technology,
Mathematics
Mathematics
Course code:
ELEC-E7450
Study credits:
5 ECTS
Price:
0 €
Course level:
Teaching period:
19.4.–1.6.2022
Application deadline:
Application period has ended
Host university:
Aalto University
Who can apply:
Adult learner,
Degree student
Degree student
Teaching method:
Contact
Place of contact learning:
Espoo
Teaching language:
English
General prerequisites:
Basic knowledge of modelling and analysis of communication networks