Please use this identifier to cite or link to this item: https://doi.org/10.2200/S00538ED1V01Y201309CSL007
Title: Analytical performance modeling for computer systems: Second edition
Authors: Tay, Y.C. 
Keywords: analytical modeling techniques
computer system performance
experimental validation
fluid approximation
Markov chains
queueing systems
simulation
transient analysis
Issue Date: 15-Oct-2013
Citation: Tay, Y.C. (2013-10-15). Analytical performance modeling for computer systems: Second edition. Synthesis Lectures on Computer Science 7 : 1-143. ScholarBank@NUS Repository. https://doi.org/10.2200/S00538ED1V01Y201309CSL007
Abstract: Download Free Sample 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 college-level 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 that they are interested in. Describing a complicated system abstractly with mathematical equations requires a careful choice of assumptions and approximations. They 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 for 30 research papers. These papers cover a broad range of topics: processors and disks, routers and crawling, databases and multimedia, worms and wireless, multicore and cloud, etc. An appendix provides many questions for readers to exercise their understanding of the models in these papers. Author's Biography Copyright © 2013 by Morgan & Claypool.
Source Title: Synthesis Lectures on Computer Science
URI: http://scholarbank.nus.edu.sg/handle/10635/102866
ISSN: 19321228
DOI: 10.2200/S00538ED1V01Y201309CSL007
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