13E114PRS - Computer Systems Performance

Course specification
Course title		Computer Systems Performance
Acronym		13E114PRS
Study programme		Electrical Engineering and Computing
Module		Computer Engineering and Informatics
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Jelica Protić
Lecturer/Associate (for practice)		asst. MA Predrag Obradović, electrical and computer engineer Matija Dodović, electrical and computer engineer
Lecturer/Associate (for OTC)		asst. MA Predrag Obradović, electrical and computer engineer Matija Dodović, electrical and computer engineer
ESPB		6.0	Status	mandatory
Condition		None
The goal		Teaching of the basic concepts of computer performance analysis and its application areas. Explanation of simplified models of computer system components (processors, memory, disks). Providing students with the ability to model and analyze computer systems and networks using stochastic methods and the mean value analysis (MVA) applied to open and closed queuing networks.
The outcome		Students will be able to: select the appropriate modeling technique, depending on the characteristics of the computer component or system, set up an abstract model, specify the assumptions and approximations for the specific model, calculate performance indicators based on a set of given parameters, critically discuss the obtained numerical performance indicators, and interpret the results.
Contents
URL to the subject page		http://rti.etf.bg.edu.rs/rti/prs/index.html
URL to lectures		https://teams.microsoft.com/l/team/19%3aerthQRNDtpI5Uo5QN-pqTjqSseSE3CisIE-jOpASJuU1%40thread.tacv2/conversations?groupId=6e8d58fa-56ad-4e48-a052-b7775990b4a3&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba
Contents of lectures		Techniques and applications of computer performance analysis. Performance of the processors, memory subsystem and disks. Modeling of computer systems based on queuing networks. Poisson process. Birth and death formula. Exponential and non-exponential models. Pollaczek–Khinchine formula. Closed networks. Open networks. Central server networks. Stochastic and MVA analysis of systems and networks.
Contents of exercises		Problems and examples that follow the order of topics presented during lectures: disk modeling based on linear, discrete and continuous models, examples of the system modeling based on single server queue, cyclic model of multiprogramming, central server network, Buzen's algorithm. Interactive systems and their analysis using stochastic methods and the MVA algorithm
Literature
Rai Jain, "The Art of Computer Systems Performance Analysis," John Wiley and Sons, 1991. Computer Systems Performance, presentations used on lectures and auditory exercises, Web site of the Department of Computer Engineering and Informatics, School of Electrical Engineering, http://rti.etf.bg.edu.rs/rti/prs/materijali/ Daniel A. Menasce, Lawrence W. Dowdy, Virgilio A.F. Almeida,"Performance by Design: Computer Capacity Planning By Example," Prentice Hall, 2004.
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
2	2	1
Methods of teaching		Lectures and auditory exercises, individual work of students on assignments and projects.
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	70
Practical lessons		0	Oral examination	0
Projects
Colloquia		0
Seminars		30