Please use this identifier to cite or link to this item: https://doi.org/10.2200/S00538ED1V01Y201309CSL007
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dc.titleAnalytical performance modeling for computer systems: Second edition
dc.contributor.authorTay, Y.C.
dc.date.accessioned2014-10-28T02:30:38Z
dc.date.available2014-10-28T02:30:38Z
dc.date.issued2013-10-15
dc.identifier.citationTay, Y.C. (2013-10-15). Analytical performance modeling for computer systems: Second edition. Synthesis Lectures on Computer Science 7 : 1-143. ScholarBank@NUS Repository. <a href="https://doi.org/10.2200/S00538ED1V01Y201309CSL007" target="_blank">https://doi.org/10.2200/S00538ED1V01Y201309CSL007</a>
dc.identifier.issn19321228
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/102866
dc.description.abstractDownload 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.2200/S00538ED1V01Y201309CSL007
dc.sourceScopus
dc.subjectanalytical modeling techniques
dc.subjectcomputer system performance
dc.subjectexperimental validation
dc.subjectfluid approximation
dc.subjectMarkov chains
dc.subjectqueueing systems
dc.subjectsimulation
dc.subjecttransient analysis
dc.typeArticle
dc.contributor.departmentMATHEMATICS
dc.description.doi10.2200/S00538ED1V01Y201309CSL007
dc.description.sourcetitleSynthesis Lectures on Computer Science
dc.description.volume7
dc.description.page1-143
dc.identifier.isiutNOT_IN_WOS
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