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Author:   Henry H. Liu
Publisher:   John Wiley and Sons Ltd
Imprint:   Wiley-Blackwell
Dimensions:   Width: 16.50cm , Height: 2.40cm , Length: 23.90cm
Weight:   0.662kg
ISBN:  

9780470462539

ISBN 10:   0470462531
Pages:   396
Publication Date:   05 June 2009
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

PREFACE xv ACKNOWLEDGMENTS xxi Introduction 1 Performance versus Scalability 1 PART 1 THE BASICS 3 1. Hardware Platform 5 1.1 Turing Machine 6 1.2 von Neumann Machine 7 1.3 Zuse Machine 8 1.4 Intel Machine 9 1.5 Sun Machine 17 1.6 System Under Test 18 1.7 Odds Against Turing 30 1.8 Sizing Hardware 35 1.9 Summary 37 2. Software Platform 41 2.1 Software Stack 42 2.2 APIs 44 2.3 Multithreading 47 2.4 Categorizing Software 535 2.5 Enterprise Computing 55 2.6 Summary 63 3. Testing Software Performance and Scalability 65 3.1 Scope of Software Performance and Scalability Testing 67 3.2 Software Development Process 83 3.3 Defining Software Performance 86 3.4 Stochastic Nature of Software Performance Measurements 95 3.5 Amdahl’s Law 97 3.6 Software Performance and Scalability Factors 99 3.7 System Performance Counters 111 3.8 Software Performance Data Principles 129 3.9 Summary 131 PART 2 APPLYING QUEUING THEORY 135 4. Introduction to Queuing Theory 137 4.1 Queuing Concepts and Metrics 139 4.2 Introduction to Probability Theory 143 4.3 Applying Probability Theory to Queuing Systems 145 4.4 Queuing Models for Networked Queuing Systems 153 4.5 Summary 172 5. Case Study I: Queuing Theory Applied to SOA 177 5.1 Introduction to SOA 178 5.2 XML Web Services 179 5.3 The Analytical Model 181 5.4 Service Demand 183 5.5 MedRec Application 188 5.6 MedRec Deployment and Test Scenario 189 5.7 Test Results 191 5.8 Comparing the Model with the Measurements 198 5.9 Validity of the SOA Performance Model 200 5.10 Summary 200 6. Case Study II: Queuing Theory Applied to Optimizing and Tuning Software Performance and Scalability 205 6.1 Analyzing Software Performance and Scalability 207 6.2 Effective Optimization and Tuning Techniques 220 6.3 Balanced Queuing System 240 6.4 Summary 244 PART 3 APPLYING API PROFILING 249 7. Defining API Profiling Framework 251 7.1 Defense Lines Against Software Performance and Scalability Defects 252 7.2 Software Program Execution Stack 253 7.3 The PerfBasic API Profiling Framework 254 7.4 Summary 260 8. Enabling API Profiling Framework 263 8.1 Overall Structure 264 8.2 Global Parameters 265 8.3 Main Logic 266 8.4 Processing Files 266 8.5 Enabling Profiling 267 8.6 Processing Inner Classes 270 8.7 Processing Comments 271 8.8 Processing Method Begin 272 8.9 Processing Return Statements 274 8.10 Processing Method End 275 8.11 Processing Main Method 276 8.12 Test Program 277 8.13 Summary 279 9. Implementing API Profiling Framework 281 9.1 Graphics Tool—dot 281 9.2 Graphics Tool—ILOG 284 9.3 Graphics Resolution 286 9.4 Implementation 287 9.5 Summary 300 10. Case Study: Applying API Profiling to Solving Software Performance and Scalability Challenges 303 10.1 Enabling API Profiling 304 10.2 API Profiling with Standard Logs 313 10.3 API Profiling with Custom Logs 320 10.4 API Profiling with Combo Logs 325 10.5 Applying API Profiling to Solving Performance and Scalability Problems 333 10.6 Summary 337 APPENDIX A STOCHASTIC EQUILIBRIUM AND ERGODICITY 339 A.1 Basic Concepts 339 A.2 Classification of Random Processes 343 A.3 Discrete-Time Markov Chains 345 A.4 Continuous-Time Markov Chains 349 A.5 Stochastic Equilibrium and Ergodicity 351 A.6 Birth–Death Chains 357 APPENDIX B MEMORYLESS PROPERTY OF THE EXPONENTIAL DISTRIBUTION 361 APPENDIX C M/M/1 QUEUES AT STEADY STATE 363 C.1 Review of Birth–Death Chains 363 C.2 Utilization and Throughput 364 C.3 Average Queue Length in the System 365 C.4 Average System Time 365 C.5 Average Wait Time 366 INDEX 367

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Author Information

Henry H. Liu, PhD, is Software Developer at BMC Software. Previously, he worked as a physicist in the national labs of China, France, Germany, and the United States. He also worked at Intel and Amdocs as a software performance engineer prior to joining BMC. He was an Alexander von Humboldt Research Fellow from 1990–1992 in Germany. He was awarded the Best Paper Award at CMG's 2004 conference in the category of software performance engineering. He is a certified Sun Enterprise Architect, IBM XML Developer, and Microsoft .NET Developer. Dr. Liu is most interested in applying his previous scientific research disciplines to solving software performance and scalability challenges.

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