|Εκτίμηση Επίδοσης και Προσομοίωση Συστημάτων|
|Title: ||Εκτίμηση Επίδοσης και Προσομοίωση Συστημάτων|
|Lesson Code: ||321-7002|
|Theory Hours: ||3|
|Lab Hours: ||2|
|Faculty: ||Leros Asimakis|
Quantitative analysis of system performance, with emphasis on computer systems and networks, by mathematical models and methods on one hand, and simulation tools on the other. Poisson arrivals. Markov processes and their application in performance evaluation. Queueing analysis: M/M/1, M/M/c, M/M/1 loss, machine repairman, and more general models. Queueing networks, Jackson networks, BCMP. Discrete event simulation; generation of random variates; generation of arrival processes; simulation of Markov chains. Simulation software. Applications and case studies.
Basic understanding of mathematical and statistical models of computers and networks.
Understanding of major building blocks of simulation software.
Capability of statistical analysis and interpretation of simulation results.
Usage of the Arena simulation software
Probability and Statistics
Programming skills in C and Matlab
1. Α. Pombortsis , Α. Tsoulfas, “Computer network simulation” (in Greek).
2. Μ. Sfakianakis, “Simulation and applications” (in Greek).
3. Μ. Roumeliotis, “Simulation techniques” (in Greek).
1. Harry Perros, “Computer Simulation Techniques: The definitive introduction” (e-book).
|Learning Activities and Teaching Methods |
Lab exercises (50%), written examination (50%).
|Assessment/Grading Methods |
Programming homework assignments, lab project or case study, final exam.
|Language of Instruction|
|Greek, English (for Erasmus students)|
|Μode of delivery |
Weekly class meetings
Lab practice (6 sessions per semester)