Department of Information & Communication Systems Engineering
University of the Aegean
SCHOOL OF ENGINEERING

Department of Information
& Communication Systems Engineering

Information & Communication Systems Security
Information Systems
Artificial Intelligence
Computer & Communication Systems
Geometry, Dynamical Systems & Cosmology
 
Εκτίμηση Επίδοσης και Προσομοίωση Συστημάτων

Title: Εκτίμηση Επίδοσης και Προσομοίωση Συστημάτων
Lesson Code: 321-7002
Semester: 8
ECTS: 5
Theory Hours: 3
Lab Hours: 2
Faculty: Leros Asimakis
 
Content outline

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.

 
Learning outcomes

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

 
Prerequisites

Calculus

Probability and Statistics

Stochastic processes

Programming skills in C and Matlab

 
Basic Textbooks

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).

 
Additional References

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)



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Department of Information & & Communications Systems Engineering

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