Credits: 5

Schedule: 14.04.2020 - 27.05.2020

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.

Description

Registration and further information