Computer Systems Performance Evaluation and Prediction

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Digital Press, 09.07.2003 - 525 Seiten
Computer Systems Performance Evaluation and Prediction bridges the gap from academic to professional analysis of computer performance.

This book makes analytic, simulation and instrumentation based modeling and performance evaluation of computer systems components understandable to a wide audience of computer systems designers, developers, administrators, managers and users. The book assumes familiarity with computer systems architecture, computer systems software, computer networks and mathematics including calculus and linear algebra.

Key features of this book:
· Fills the void between engineering practice and the academic domain's treatment of computer systems performance evaluation and assessment
· Provides a single source where the professional or student can learn how to perform computer systems engineering tradeoff analysis
· Allows managers to realize cost effective yet optimal computer systems tuned to a specific application
 

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Inhalt

Computer Data Processing Hardware Architecture
39
Fundamental Concepts and Performance Measures
107
General Measurement Principles
127
Probability
139
Stochastic Processes
179
Queuing Theory
201
Simulation Analysis
251
Petri Nets
279
System Performance Evaluation Tool Selection and Use
331
Analysis of Computer Architectures
345
Analysis of Operating System Components
361
Database Systems Performance Analysis
409
Analysis of Computer Networks Components
445
References
495
Index
505
Urheberrecht

Hardware Testbeds Instrumentation Measurement
305

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Beliebte Passagen

Seite 495 - A model for random video process," Bell Syst. Tech. J., vol. 45, pp. 609-630, Apr. 1966. [3] HL VanTrees, Detection, Estimation and Modulation Theory. New York: Wiley, 1971, Pt. II. [4] A. Papoulis, Probability, Random Variables and Stochastic Processes. New York: McGraw-Hill, 1965. [5] NE Nahi and T. Assefi, "Bayesian recursive image estimation," Proc. Two Dimensional Digital Image Processing (Univ. Missouri, Columbia, Oct. 1971). [6] NE Nahi and C. Franco. "Recursive image enhancement: Vector scanning,

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Über den Autor (2003)

Paul Fortier is Professor of Electrical and Computer Engineering at the University of Massachusetts at Dartmouth and the author of numerous books on computer engineering.

Howard Michel is Assistant Professor of Electrical and Computer Engineering at the University of Massachusetts at Dartmouth.

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