Department of Computer Science, National University of Singapore

CS5239 Computer Systems Performance Analysis

AY2020/21 – Semester 1

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This course aims to provide students with a working knowledge of computer performance evaluation.  It covers fundamental techniques such as measurement and mathematical modeling. The module is divided into four main parts: capacity planning, performance measurement, analytic models and case studies. Topics include: capacity planning; measurement covering performance metrics, workload characterization, and instrumentation; analytic techniques covering operational analysis, stochastic queuing network analysis; and principles of scalable performance.

 

Instructor:

Teo Yong Meng, Com2, 04-39, (email, URL)

Teaching Assistant:

Zhang Han, Com2, B1-01 (email)

Lecture:

Mon, 6.30-8.30pm, Synchronised Virtual Lecture

Consultation Hours:

Wed, 1000-1200

Modular Credits:

Prerequisites:

4

((CS1020 or its equivalent) or CS2020 or (CS2030 or its equivalent) or CS2113/T) and (EE2012/A or ST2132 or ST2334 or ((MA2216 or ST2131) and (ST1131/A or ST1232 or DSC2008)))
[graduate students: knowledge of computer organization/architecture and statistics/probabilities] 

Main Textbooks

·       The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation and Modeling, R. Jain, John-Wiley, 1991.   [Errata]

·        Quantitative System Performance, E.D. Lazowska et al., Prentice-Hall, 1984.

·        Measuring Computer Performance - A Practitioner's Guide, D.J. Lilja, Cambridge University Press, 2000.

 

Module Assessment:

·        100% CA (no exam)

 
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