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Analytical Performance Modeling for Computer Systems, Second Edition [electronic resource] / by Y.C. Tay.

By: Tay, Y.C [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Synthesis Lectures on Computer Science: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Edition: 2nd ed. 2014.Description: IV, 141 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031018008.Subject(s): Mathematics | Computer science | Mathematics | Computer ScienceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 510 Online resources: Click here to access online
Contents:
Preface -- 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.
In: Springer Nature eBookSummary: 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.
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Preface -- 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.

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.

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