| Acknowledgments |
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ix | |
| Preface |
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xi | |
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1 Queuing Networks as Applications Models |
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1 | (24) |
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1.1 Enterprise Applications---What Do They Have in Common? |
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1 | (5) |
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1.2 Key Performance Indicator---Transaction Time |
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6 | (2) |
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1.3 What Is Application Tuning and Sizing? |
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8 | (1) |
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1.4 Queuing Models of Enterprise Application |
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9 | (10) |
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1.5 Transaction Response Time and Transaction Profile |
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19 | (3) |
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1.6 Network of Highways as an Analogy of the Queuing Model |
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22 | (3) |
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Take Away from the
Chapter |
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24 | (1) |
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2 Building and Solving Application Models |
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25 | (32) |
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25 | (9) |
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26 | (2) |
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28 | (1) |
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29 | (2) |
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31 | (3) |
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2.2 Essentials of Queuing Networks Theory |
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34 | (5) |
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39 | (8) |
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2.4 Interpretation of Modeling Results |
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47 | (10) |
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47 | (4) |
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Server Queue Length, Transaction Time, System Throughput |
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51 | (3) |
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Take Away from the
Chapter |
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54 | (3) |
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3 Workload Characterization and Transaction Profiling |
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57 | (37) |
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3.1 What Is Application Workload? |
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57 | (3) |
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3.2 Workload Characterization |
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60 | (21) |
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Transaction Rate and User Think Time |
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61 | (4) |
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65 | (3) |
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Take Away from the Think Time Model |
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68 | (1) |
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68 | (1) |
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"Garbage in, Garbage out" Models |
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68 | (1) |
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69 | (3) |
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72 | (1) |
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72 | (3) |
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Transaction Rate Variation |
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75 | (3) |
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Take Away from "Garbage in, Garbage out" Models |
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78 | (1) |
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Number of Application Users |
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78 | (2) |
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80 | (1) |
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Take Away from User Concurrency Model |
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81 | (1) |
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3.3 Business Process Analysis |
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81 | (7) |
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3.4 Mining Transactional Data from Production Applications |
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88 | (6) |
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Profiling Transactions Using Operating System Monitors and Utilities |
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88 | (2) |
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90 | (1) |
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91 | (2) |
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Take Away from the
Chapter |
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93 | (1) |
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4 Servers, CPUs, and Other Building Blocks of Application Scalability |
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94 | (20) |
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4.1 Application Scalability |
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94 | (1) |
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4.2 Bottleneck Identification |
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95 | (19) |
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97 | (1) |
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97 | (1) |
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CPU Bottleneck Identification |
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97 | (3) |
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100 | (1) |
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100 | (1) |
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100 | (4) |
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Take Away from the CPU Bottleneck Model |
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104 | (1) |
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105 | (1) |
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106 | (1) |
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I/O Bottleneck Identification |
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106 | (1) |
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107 | (1) |
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108 | (3) |
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Take Away from the I/O Bottleneck Model |
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111 | (2) |
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Take Away from the
Chapter |
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113 | (1) |
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5 Operating System Overhead |
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114 | (13) |
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5.1 Components of an Operating System |
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114 | (4) |
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5.2 Operating System Overhead |
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118 | (9) |
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122 | (1) |
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Impact of System Overhead on Transaction Time |
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123 | (1) |
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Impact of System Overhead on Hardware Utilization |
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124 | (1) |
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Take Away from the
Chapter |
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125 | (2) |
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127 | (30) |
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6.1 What Is a Software Bottleneck? |
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127 | (4) |
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131 | (13) |
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133 | (1) |
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Preset Upper Memory Limit |
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133 | (5) |
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138 | (5) |
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Take Away from the Memory Bottleneck Model |
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143 | (1) |
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144 | (8) |
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Thread Optimization Models |
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145 | (1) |
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Thread Bottleneck Identification |
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145 | (3) |
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Correlation Among Transaction Time, CPU Utilization, and the Number of Threads |
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148 | (2) |
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Optimal Number of Threads |
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150 | (1) |
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Take Away from Thread Optimization Model |
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151 | (1) |
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6.4 Other Causes of Software Bottlenecks |
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152 | (5) |
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152 | (1) |
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Connections to Database; User Sessions |
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152 | (2) |
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Limited Wait Time and Limited Wait Space |
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154 | (1) |
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155 | (1) |
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Take Away from the
Chapter |
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155 | (2) |
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7 Performance and Capacity of Virtual Systems |
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157 | (16) |
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7.1 What Is Virtualization? |
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157 | (3) |
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7.2 Hardware Virtualization |
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160 | (11) |
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161 | (4) |
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165 | (2) |
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Queuing Theory Explains It All |
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167 | (2) |
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Virtualized Hosts Sizing After Lesson Learned |
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169 | (2) |
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7.3 Methodology of Virtual Machines Sizing |
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171 | (2) |
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Take Away from the
Chapter |
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172 | (1) |
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8 Model-Based Application Sizing: Say Good-Bye to Guessing |
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173 | (21) |
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8.1 Why Model-Based Sizing? |
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173 | (4) |
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177 | (9) |
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Workload and Expected Transaction Time |
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177 | (2) |
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How to Obtain a Transaction Profile |
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179 | (3) |
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182 | (4) |
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8.3 Mapping a System into a Model |
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186 | (2) |
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8.4 Model Deliverables and What-If Scenarios |
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188 | (6) |
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Take Away from the
Chapter |
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193 | (1) |
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9 Modeling Different Application Configurations |
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194 | (21) |
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9.1 Geographical Distribution of Users |
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194 | (4) |
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196 | (1) |
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196 | (1) |
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197 | (1) |
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Take Away from Remote Office Models |
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198 | (1) |
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9.2 Accounting for the Time on End-User Computers |
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198 | (2) |
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9.3 Remote Terminal Services |
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200 | (1) |
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9.4 Cross-Platform Modeling |
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201 | (2) |
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9.5 Load Balancing and Server Farms |
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203 | (2) |
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9.6 Transaction Parallel Processing Models |
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205 | (10) |
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Concurrent Transaction Processing by a Few Servers |
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205 | (4) |
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Concurrent Transaction Processing by the Same Server |
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209 | (4) |
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Take Away from Transaction Parallel Processing Models |
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213 | (1) |
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Take Away from the
Chapter |
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214 | (1) |
| Glossary |
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215 | (5) |
| References |
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220 | (3) |
| Index |
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223 | |
Lisainfo e-raamatute kohta