Performance Evaluation and Simulation of Computer Systems and Networks
| Course Code | 321-7000 |
|---|---|
| Semester | 7 |
| ECTS | 5.00 |
| Hours (Theory) | 3 |
| Hours (Lab) | 2 |
| Instructor | Leros Asimakis |
Course Content
Quantitative analysis of discrete-event systems, including computer systems and networks, both by statistical tools and by simulation. Poisson arrivals. Markov processes. Queueing theory: M/M/1, M/M/c, M/M/1/K, M/M/1/K/K models. Queueing networks, Jackson networks, BCMP networks. Discrete-event simulation: random number generation, simulation of Poisson arrivals, simulation of queueing networks. Simulation using Arena.
Learning Outcomes
Upon completion of the course, students will have
- the knowledge of the basic building blocks of a simulation program;
- the capability to use statistical tools for system modelling;
- the capability to use simulation software such as Arena.
Prerequisites
Not required.
Teaching and Learning Methods
| Activity | Semester workload |
|---|---|
| Lectures | 39 hours |
| Lab exercises | 6 hours |
| Personal study | 57 hours |
| Final exams | 3 hours |
| Course total | 125 hours (5 ECTS) |
Assessment Methods / Grading
Lab exercises (50%), written examination (50%).
Teaching Language
Greek (English for Erasmus students)