Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

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.

Credits: 5

Schedule: 25.04.2023 - 07.06.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Samuli Aalto

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    1) ELEC-C7210 recap.
    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) Queueing networks: Open queueing networks. Closed queueing networks. Applications.
    5) Resource sharing: Max-min fairness, Alpha-fairness, Balanced fairness. Applications.
    6) Multi-server queueing systems: Separability. Optimal dispatching problem. Applications.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Compulsory: Examination (100%), exercises

Workload
  • valid for whole curriculum period:

    Contact hours 49 hours
    Independent learning: 82 hours

DETAILS

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    4 Quality Education

    8 Decent Work and Economic Growth

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Spring V
    2023-2024 Spring V

    Enrollment :

    Registration for Courses: Sisu