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Record Nr. |
UNINA9910828544703321 |
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Autore |
Fortier Paul J |
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Titolo |
Computer systems performance evaluation and prediction / / Paul J. Fortier, Howard E. Michel |
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Pubbl/distr/stampa |
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Burlington, MA, : Digital Press, c2003 |
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ISBN |
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1-281-03946-2 |
9786611039462 |
0-08-050260-1 |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (541 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Computer systems - Evaluation |
Computer systems - Reliability |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 495-503) and index. |
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Nota di contenuto |
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Front Cover; Computer Systems Performance Evaluation and Prediction; Copyright Page; Contents; Preface; Chapter 1. Introduction; 1.1 Evolution of computer systems architectures; 1.2 Evolution of database systems; 1.3 Evolution of operating systems; 1.4 Evolution of computer networks; 1.5 Need for performance evaluation; 1.6 Role of performance evaluation in computer engineering; 1.7 Overview of performance evaluation methods; 1.8 Performance metrics and evaluation criteria; Chapter 2. Computer Data Processing Hardware Architecture; 2.1 Introduction; 2.2 Computer hardware architecture |
2.3 CPU architectures 2.4 I/O architectures; 2.5 Secondary storage and peripheral devices and architectures; 2.6 Distributed and network architectures; 2.7 Network topologies; 2.8 Computer architectures; 2.9 Computer systems support software architecture; 2.10 Components of a database system's architecture; 2.11 Summary; Chapter 3. Fundamental Concepts and Performance Measures; 3.1 Introduction; 3.2 Time; 3.3 Events; 3.4 Measurements (sampling); 3.5 Intervals; 3.6 Response; 3.7 Independence; 3.8 Randomness; 3.9 Workloads; 3.10 Problems encountered in model development and use |
3.11 A case study 3.12 Summary; Chapter 4. General Measurement Principles; 4.1 Scheduling algorithms; 4.2 Workloads; 4.3 Summary; Chapter 5. Probability; 5.1 Random variables; 5.2 Jointly distributed |
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random variables; 5.3 Probability distributions; 5.4 Densities; 5.5 Expectation; 5.6 Some example probability distributions; 5.7 Summary; Chapter 6. Stochastic Processes; 6.1 Introduction; 6.2 Basic definitions; 6.3 Poisson process; 6.4 Birth-death process; 6.5 Markov process; 6.6 Summary; Chapter 7. Queuing Theory; 7.1 Queuing systems; 7.2 Networks of queues |
7.3 Estimating parameters and distributions 7.4 Computational methods for queuing network solutions; 7.5 Summary; Chapter 8. Simulation Analysis; 8.1 Simulation process; 8.2 Time control; 8.3 Systems and modeling; 8.4 Simulation languages; 8.5 Applications of simulation; 8.6 Summary; Chapter 9. Petri Nets; 9.1 Introduction; 9.2 Basic notation; 9.3 Classical Petri nets; 9.4 Timed Petri nets; 9.5 Priority-based Petri nets; 9.6 Colored Petri nets; 9.7 Generalized Petri nets; 9.8 Summary; Chapter 10. Hardware Testbeds, Instrumentation, Measurement, Data Extraction, and Analysis |
10.1 Derivation of performance evaluation parameters 10.2 Network performance tests; 10.3 General methods of data extraction; 10.4 Testbed and model workloads; 10.5 Experimental design; 10.6 Data presentation; 10.7 Summary; Chapter 11. System Performance Evaluation Tool Selection and Use; 11.1 Tool selection; 11.2 Validation of results; 11.3 Conducting experiments; 11.4 Performance metrics; 11.5 Evaluation; 11.6 Summary; Chapter 12. Analysis of Computer Architectures; 12.1 Introduction; 12.2 Case I: Central server computer system; 12.3 Case II: Multiple server computer system |
12.4 Case III: Petri net example |
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Sommario/riassunto |
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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.·Fills the void between engineering practic |
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