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 models and tools, and by simulation. Poisson, birth-and-death and Markov processes, and their application to modelling and performance evaluation. Queueing theory: M/M/1, M/M/c, M/M/1/K, M/M/1/K/K models; application to modelling a network node. Queueing networks, Jackson networks, BCMP networks; application to modelling communication networks. Computer system models, including the central server model. Simulation of discrete-event systems using Arena. Case studies: latency in multiprocessor systems, modelling and simulation of sensor networks, user modelling.
Learning Outcomes
Upon completion of the course, students will have the:
- knowledge of the basic building blocks of a simulation program;
- capability to use statistical tools for discrete-event system modelling;
- understanding of performance measures such as throughput, queue size, response time, probability of loss, and their relation to system parameters;
- capability to use simulation software such as Arena.