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
 
Performance Evaluation and Simulation of Computer Systems and Networks

Title: Performance Evaluation and Simulation of Computer Systems and Networks
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

 

 

Upon completion of this course, students will be able to:

  • use mathematical and statistical tools, such as Markov processes and queueing theory, to describe discrete-event systems
  • understand the basic structure of a simulation program
  • use the Arena software for simulation of simple industrial and business processes
  • perform statistical analysis on simulation results

 

 
Basic Textbooks
  • Α. Pombortsis , Α. Tsoulfas, “Computer network simulation” (in Greek).
  • Μ. Sfakianakis, “Simulation and applications” (in Greek).
  • Μ. Roumeliotis, “Simulation techniques” (in Greek).
 
Additional References
  • Arnold Allen, Probability, Statistics and Queueing Theory with Computer Science Applications. Academic Press, 1990.
  • Harry Perros, Computer Simulation Techniques: The definitive introduction (e-book)
  • Sheldon Ross, Simulation. Academic Press, 2006.
 
Learning Activities and Teaching Methods

Lab exercises (50%), written examination (50%).

 
Assessment/Grading 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)
 
Language of Instruction
Greek, English (for Erasmus students)
 
Μode of delivery

Weekly class meetings
Lab practice (6 sessions per semester)



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