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Performance analysis
Individual course
This course teaches performance analysis of modern computer and communication systems.
Course contents
- Recap of prerequisites
- 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 on Tuesdays and Thursdays at 9–12
- Exercises on Mondays and Wednesdays at 16–18
- Exam on 5.6.2024 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
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Category:
ICT studies
Topics:
5G technology,
Mathematics
Mathematics
Course code:
ELEC-E7450
Study credits:
5 ECTS
Price:
0 €
Course level:
Teaching period:
23.4.–5.6.2024
Application start date:
07.11.2023
Application deadline:
9.4.2024
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.