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001 978-3-031-01795-7
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007 cr nn 008mamaa
008 221105s2010 sz | s |||| 0|eng d
020 _a9783031017957
_9978-3-031-01795-7
024 7 _a10.1007/978-3-031-01795-7
_2doi
050 4 _aQA1-939
072 7 _aPB
_2bicssc
072 7 _aMAT000000
_2bisacsh
072 7 _aPB
_2thema
082 0 4 _a510
_223
100 1 _aTay, Y.C.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979260
245 1 0 _aAnalytical Performance Modeling for Computer Systems
_h[electronic resource] /
_cby Y.C. Tay.
250 _a1st ed. 2010.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2010.
300 _aIV, 141 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Computer Science,
_x1932-1686
505 0 _aPreface -- Preliminaries -- Concepts and Little's Law -- Single Queues -- Open Systems -- Markov Chains -- Closed Systems -- Bottlenecks and Flow Equivalence -- Deterministic Approximations -- Transient Analysis -- Experimental Validation and Analysis -- Analysis with an Analytical Model -- Bibliography -- Author's Biography.
520 _aThis 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 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, databasesand multimedia, worms and wireless, etc. An Appendix provides some questions for readers to exercise their understanding of the models in these papers. Table of Contents: Preliminaries / Concepts and Little's Law / Single Queues / Open Systems / Markov Chains / Closed Systems / Bottlenecks and Flow Equivalence / Deterministic Approximations / Transient Analysis / Experimental Validation and Analysis / Analysis with an Analytical Model.
650 0 _aMathematics.
_911584
650 0 _aComputer science.
_99832
650 1 4 _aMathematics.
_911584
650 2 4 _aComputer Science.
_99832
710 2 _aSpringerLink (Online service)
_979261
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031006678
776 0 8 _iPrinted edition:
_z9783031029233
830 0 _aSynthesis Lectures on Computer Science,
_x1932-1686
_979262
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01795-7
912 _aZDB-2-SXSC
942 _cEBK
999 _c84746
_d84746