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Performance analysis

Individual course

This course teaches performance analysis of modern computer and communication systems.

Course contents

  1. Recap of prerequisites
  2. Stochastics: Conditional expectation. Phase-type distributions. Reversibility. Regenerative processes.
  3. Single-server queues: M/G/1-FIFO queue. M/G/1-PS queue. Optimal scheduling problem. Applications.
  4. Multi-server queueing systems: Separability. Optimal dispatching problem. Applications.
  5. Queueing networks: Open queueing networks. Closed queueing networks. Applications.
  6. 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

Contact person for applications

FITech Network University
Fanny Qvickström, Student services specialist
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5G technology,
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0 €
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Aalto University
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Adult learner,
Degree student
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General prerequisites:
Basic knowledge of modelling and analysis of communication networks.
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