Please use this identifier to cite or link to this item: https://doi.org/10.2200/S00282ED1V01Y201005CSL002
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dc.titleAnalytical performance modeling for computer systems
dc.contributor.authorTay, Y.C.
dc.date.accessioned2014-10-28T02:30:37Z
dc.date.available2014-10-28T02:30:37Z
dc.date.issued2010-04-28
dc.identifier.citationTay, Y.C. (2010-04-28). Analytical performance modeling for computer systems. Synthesis Lectures on Computer Science 2 : 1-102. ScholarBank@NUS Repository. <a href="https://doi.org/10.2200/S00282ED1V01Y201005CSL002" target="_blank">https://doi.org/10.2200/S00282ED1V01Y201005CSL002</a>
dc.identifier.isbn9781608454419
dc.identifier.issn19321228
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/102865
dc.description.abstractThis 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.2200/S00282ED1V01Y201005CSL002
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/S00282ED1V01Y201005CSL002
dc.description.sourcetitleSynthesis Lectures on Computer Science
dc.description.volume2
dc.description.page1-102
dc.identifier.isiutNOT_IN_WOS
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