Please use this identifier to cite or link to this item: https://doi.org/10.2200/S00282ED1V01Y201005CSL002
Title: Analytical performance modeling for computer systems
Authors: Tay, Y.C. 
Keywords: Analytical modeling techniques
Computer system performance
Experimental validation
Fluid approximation
Markov chains
Queueing systems
Simulation
Transient analysis
Issue Date: 28-Apr-2010
Citation: Tay, Y.C. (2010-04-28). Analytical performance modeling for computer systems. Synthesis Lectures on Computer Science 2 : 1-102. ScholarBank@NUS Repository. https://doi.org/10.2200/S00282ED1V01Y201005CSL002
Abstract: This book is an introduction to analytical performance modeling for computer systems, i.e., writing equations to describe their performance behavior. It is accessible to readers who have taken collegelevel courses in calculus and probability, networking, and operating systems. This is not a training manual for becoming an expert performance analyst.Rather, the objective is to help the reader construct simple models for analyzing and understanding the systems in which they are interested. Describing a complicated system abstractly with mathematical equations requires a careful choice of assumptions and approximations. These assumptions and approximations make the model tractable, but they must not remove essential characteristics of the system, nor introduce spurious properties. To help the reader understand the choices and their implications, this book discusses the analytical models in 20 research papers. These papers cover a broad range of topics: processors and disks, databases and multimedia, worms and wireless, etc. An Appendix provides some questions for readers to exercise their understanding of the models in these papers. Copyright © 2010 by Morgan & Claypool.
Source Title: Synthesis Lectures on Computer Science
URI: http://scholarbank.nus.edu.sg/handle/10635/102865
ISBN: 9781608454419
ISSN: 19321228
DOI: 10.2200/S00282ED1V01Y201005CSL002
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