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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
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Category:
ICT Studies
Topics:
5G technology,
Mathematics
Mathematics
Course code:
ELEC-E7450
Credits:
5 ECTS
Price:
0 €
Level:
Teaching period:
19.4.–1.6.2022
Application deadline:
Application period has ended
Host university:
Aalto University
Study is open for:
Adult learner,
Degree student
Degree student
Teaching methods:
Contact
Place of contact learning:
Espoo
Language:
English
General prerequisites:
Basic knowledge of modelling and analysis of communication networks