Computer Systems Performance Evaluation and Prediction
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Table of contents
- Cover
- Contentsvii
- Prefacexi
- Chapter 1. Introduction1
- 1.1 Evolution of computer systems architectures2
- 1.2 Evolution of database systems10
- 1.3 Evolution of operating systems15
- 1.4 Evolution of computer networks19
- 1.5 Need for performance evaluation22
- 1.6 Role of performance evaluation in computer engineering23
- 1.7 Overview of performance evaluation methods24
- 1.8 Performance metrics and evaluation criteria36
- Chapter 2. Computer Data Processing Hardware Architecture39
- 2.1 Introduction39
- 2.2 Computer hardware architecture41
- 2.3 CPU architectures42
- 2.4 I/O architectures49
- 2.5 Secondary storage and peripheral devices and architectures50
- 2.6 Distributed and network architectures54
- 2.7 Network topologies57
- 2.8 Computer architectures59
- 2.9 Computer systems support software architecture62
- 2.10 Components of a database system's architecture92
- 2.11 Summary105
- Chapter 3. Fundamental Concepts and Performance Measures107
- 3.1 Introduction107
- 3.2 Time109
- 3.3 Events110
- 3.4 Measurements (sampling)112
- 3.5 Intervals115
- 3.6 Response116
- 3.7 Independence117
- 3.8 Randomness118
- 3.9 Workloads119
- 3.10 Problems encountered in model development and use119
- 3.11 A case study124
- 3.12 Summary125
- Chapter 4. General Measurement Principles127
- 4.1 Scheduling algorithms133
- 4.2 Workloads137
- 4.3 Summary138
- Chapter 5. Probability139
- 5.1 Random variables149
- 5.2 Jointly distributed random variables150
- 5.3 Probability distributions150
- 5.4 Densities152
- 5.5 Expectation155
- 5.6 Some example probability distributions163
- 5.7 Summary177
- Chapter 6. Stochastic Processes179
- 6.1 Introduction179
- 6.2 Basic definitions179
- 6.3 Poisson process184
- 6.4 Birth-death process187
- 6.5 Markov process192
- 6.6 Summary200
- Chapter 7. Queuing Theory201
- 7.1 Queuing systems201
- 7.2 Networks of queues219
- 7.3 Estimating parameters and distributions227
- 7.4 Computational methods for queuing network solutions233
- 7.5 Summary249
- Chapter 8. Simulation Analysis251
- 8.1 Simulation process253
- 8.2 Time control255
- 8.3 Systems and modeling256
- 8.4 Simulation languages261
- 8.5 Applications of simulation273
- 8.6 Summary278
- Chapter 9. Petri Nets279
- 9.1 Introduction279
- 9.2 Basic notation279
- 9.3 Classical Petri nets284
- 9.4 Timed Petri nets294
- 9.5 Priority-based Petri nets298
- 9.6 Colored Petri nets300
- 9.7 Generalized Petri nets301
- 9.8 Summary302
- Chapter 10. Hardware Testbeds, Instrumentation, Measurement, Data Extraction, and Analysis305
- 10.1 Derivation of performance evaluation parameters311
- 10.2 Network performance tests315
- 10.3 General methods of data extraction319
- 10.4 Testbed and model workloads322
- 10.5 Experimental design326
- 10.6 Data presentation328
- 10.7 Summary330
- Chapter 11. System Performance Evaluation Tool Selection and Use331
- 11.1 Tool selection331
- 11.2 Validation of results334
- 11.3 Conducting experiments336
- 11.4 Performance metrics337
- 11.5 Evaluation342
- 11.6 Summary343
- Chapter 12. Analysis of Computer Architectures345
- 12.1 Introduction345
- 12.2 Case I: Central server computer system345
- 12.3 Case II: Multiple server computer system350
- 12.4 Case III: Petri net example358
- 12.5 Summary360
- Chapter 13. Analysis of Operating System Components361
- 13.1 Introduction361
- 13.2 System architectures362
- 13.3 Workloads372
- 13.4 Experimental design and simulation376
- 13.5 Experimental analysis and conclusion397
- 13.6 Summary408
- Chapter 14. Database Systems Performance Analysis409
- 14.1 Introduction409
- 14.2 The testbed systems409
- 14.3 The database systems413
- 14.4 Testbed performance analysis testing431
- 14.5 The results436
- 14.6 Summary444
- Chapter 15. Analysis of Computer Networks Components445
- 15.1 Introduction445
- 15.2 Analytical modeling examples448
- 15.3 Simulation modeling of local area networks463
- 15.4 Summary493
- References495
- Index505
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 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
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 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