Credits: 5
Schedule: 16.04.2019 - 29.05.2019
Contact information for the course (applies in this implementation):
Samuli Aalto, responsible teacher of the course ELEC-E7450
samuli.aalto@aalto.fi
Teaching Period (valid 01.08.2018-31.07.2020):
V 2018-2019 (Spring), V 2019-2020 (Spring)
Learning Outcomes (valid 01.08.2018-31.07.2020):
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.
Content (valid 01.08.2018-31.07.2020):
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) 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.
Assessment Methods and Criteria (valid 01.08.2018-31.07.2020):
Compulsory: Examination (100%), exercises
Workload (valid 01.08.2018-31.07.2020):
Contact hours 49 hours
Independent learning: 82 hours
Substitutes for Courses (valid 01.08.2018-31.07.2020):
S-38.3141
Course Homepage (valid 01.08.2018-31.07.2020):
https://mycourses.aalto.fi/course/search.php?search=ELEC-E7450
Prerequisites (valid 01.08.2018-31.07.2020):
ELEC-C7210
Grading Scale (valid 01.08.2018-31.07.2020):
0-5
Registration for Courses (valid 01.08.2018-31.07.2020):
WebOodi
Further Information (valid 01.08.2018-31.07.2020):
Language class 3: English
Course components are valid until the next time the course is given or as arranged separately.
- Teacher: Aalto Samuli
- Teacher: Lassila Pasi