Computer Systems Performance Evaluation and PredictionElsevier Science, 25.06.2003 - 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 |
Inhalt
Contents | 7 |
Computer Data Processing Hardware Architecture | 39 |
Fundamental Concepts and Performance Measures | 107 |
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Computer Systems Performance Evaluation and Prediction Paul Fortier,Howard Michel Eingeschränkte Leseprobe - 2003 |
Computer Systems Performance Evaluation and Prediction Paul J. Fortier,Howard Michel Eingeschränkte Leseprobe - 2003 |
Häufige Begriffe und Wortgruppen
algorithm allocation analysis applications architecture arrival rate basic birth-death process components computer systems concept concurrency data item database system defined determine developed device discrete disk distribution elements entity equation evaluation event example execution exponential exponential distribution hardware implemented input instruction interface unit LINUX load local area network lock Markov Markov chain mean measure memory data register node number of customers operand operating system output P₁ parameters Petri net Petri nets Poisson primary memory probability problem process control block processor query queue length queuing system random variable represent request sample space scheduling secondary storage selection shown in Figure simulation model SQL Server statistics stochastic process storage systems performance t₁ techniques teller testbed throughput tion token tool transaction transition typically utilization wait workload
Verweise auf dieses Buch
Formal Techniques for Computer Systems and Business Processes: European ... Mario Bravetti Eingeschränkte Leseprobe - 2005 |