Solving Enterprise Applications Performance Puzzles - Queuing Models to the Rescue

Informationen zum Autor Leonid Grinshpan Ph.D. (Stamford, CT) has been working for Oracle Corporation for more than 14 years as Consulting Technical Director. His customers include Dell, Citibank, Verizon, Clorox, Bank of America, AT&T, Best Buy, Aetna and many other major enterprises. He obtained Ph.D. in queuing models of computer systems from Russian Academy of Science. Klappentext A groundbreaking scientific approach to solving enterprise applications performance problemsEnterprise applications are the information backbone of today's corporations, supporting vital business functions such as operational management, supply chain maintenance, customer relationship administration, business intelligence, accounting, procurement logistics, and more. Acceptable performance of enterprise applications is critical for a company's day-to-day operations as well as for its profitability.Unfortunately, troubleshooting poorly performing enterprise applications has traditionally relied upon a trial-and-error series of actions rather than a systematic, scientific methodology.Written by the Consulting Technical Director of Oracle Corporation, one of the largest enterprise software providers in the world, this groundbreaking book frames enterprise applications performance engineering as an applied science built on a model-based foundation. Readers will discover how queuing models of enterprise applications can be used to visualize, demystify, explain, and help to solve the performance issues of many applications. The author demonstrates how these queuing models help discover the critical connections among users' workloads, hardware architecture, and software parameters.Without resorting to complex mathematics, Solving Enterprise Applications Performance Puzzles covers such important topics as:* Queuing networks as application models* Building and solving application models* User's workload characterization* Servers, CPUs, and other building blocks of application scalability* Software bottlenecks* Performance and capacity of virtual systems* Model-based application sizingThroughout the book, readers will find tables and charts summarizing and visualizing important data. In addition, readers will find plenty of illustrations to help them better understand the core drivers of application performance.Solving Enterprise Applications Performance Puzzles offers performance engineers, programmers, and systems analysts a new perspective on why enterprise applications can underperform and fail to support businesses. It puts forward a scientific approach for discovering the underlying problems and correcting them. Zusammenfassung Poorly performing enterprise applications are the weakest links in a corporation's management chain, causing delays and disruptions of critical business functions. This groundbreaking book frames enterprise application performance engineering not as an art but as applied science built on model-based methodological foundation. Inhaltsverzeichnis Acknowledgments ix Preface xi 1. Queuing Networks as Applications Models 1 1.1. Enterprise Applications-What Do They Have in Common? 1 1.2. Key Performance Indicator-Transaction Time 6 1.3. What Is Application Tuning and Sizing? 8 1.4. Queuing Models of Enterprise Application 9 1.5. Transaction Response Time and Transaction Profile 19 1.6. Network of Highways as an Analogy of the Queuing Model 22 Take Away from the Chapter 24 2. Building and Solving Application Models 25 2.1. Building Models 25 Hardware Specification 26 Model Topology 28 A Model's Input Data 29 Model Calibration 31 2.2. Essentials of Queuing Networks Theory 34 2.3. Solving Models 39 2.4. Interpretation of Modeling Results 47 Hardware Utilization 47 Server Queue Length, Transaction Time, System Throughput ...

List of contents

Acknowledgments ix
 
Preface xi
 
1. Queuing Networks as Applications Models 1
 
1.1. Enterprise Applications--What Do They Have in Common?, 1
 
1.2. Key Performance Indicator--Transaction Time, 6
 
1.3. What Is Application Tuning and Sizing?, 8
 
1.4. Queuing Models of Enterprise Application, 9
 
1.5. Transaction Response Time and Transaction Profi le, 19
 
1.6. Network of Highways as an Analogy of the Queuing Model, 22
 
Take Away from the Chapter, 24
 
2. Building and Solving Application Models 25
 
2.1. Building Models, 25
 
Hardware Specification, 26
 
Model Topology, 28
 
A Model's Input Data, 29
 
Model Calibration, 31
 
2.2. Essentials of Queuing Networks Theory, 34
 
2.3. Solving Models, 39
 
2.4. Interpretation of Modeling Results, 47
 
Hardware Utilization, 47
 
Server Queue Length, Transaction Time, System Throughput, 51
 
Take Away from the Chapter, 54
 
3. Workload Characterization and Transaction Profiling 57
 
3.1. What Is Application Workload?, 57
 
3.2. Workload Characterization, 60
 
Transaction Rate and User Think Time, 61
 
Think Time Model, 65
 
Take Away from the Think Time Model, 68
 
Workload Deviations, 68
 
"Garbage in, Garbage out" Models, 68
 
Realistic Workload, 69
 
Users' Redistribution, 72
 
Changing Number of Users, 72
 
Transaction Rate Variation, 75
 
Take Away from "Garbage in, Garbage out" Models, 78
 
Number of Application Users, 78
 
User Concurrency Model, 80
 
Take Away from User Concurrency Model, 81
 
3.3. Business Process Analysis, 81
 
3.4. Mining Transactional Data from Production Applications, 88
 
Profi ling Transactions Using Operating System Monitors and Utilities, 88
 
Application Log Files, 90
 
Transaction Monitors, 91
 
Take Away from the Chapter, 93
 
4. Servers, CPUs, and Other Building Blocks of Application Scalability 94
 
4.1. Application Scalability, 94
 
4.2. Bottleneck Identification, 95
 
CPU Bottleneck, 97
 
CPU Bottleneck Models, 97
 
CPU Bottleneck Identification, 97
 
Additional CPUs, 100
 
Additional Servers, 100
 
Faster CPUs, 100
 
Take Away from the CPU Bottleneck Model, 104
 
I/O Bottleneck, 105
 
I/O Bottleneck Models, 106
 
I/O Bottleneck Identification, 106
 
Additional Disks, 107
 
Faster Disks, 108
 
Take Away from the I/O Bottleneck Model, 111
 
Take Away from the Chapter, 113
 
5. Operating System Overhead 114
 
5.1. Components of an Operating System, 114
 
5.2. Operating System Overhead, 118
 
System Time Models, 122
 
Impact of System Overhead on Transaction Time, 123
 
Impact of System Overhead on Hardware Utilization, 124
 
Take Away from the Chapter, 125
 
6. Software Bottlenecks 127
 
6.1. What Is a Software Bottleneck?, 127
 
6.2. Memory Bottleneck, 131
 
Memory Bottleneck Models, 133
 
Preset Upper Memory Limit, 133
 
Paging Effect, 138
 
Take Away from the Memory Bottleneck Model, 143
 
6.3. Thread Optimization, 144
 
Thread Optimization Models, 145
 
Thread Bottleneck Identification, 145
 
Correlation Among Transaction Time, CPU
 
Utilization, and the Number of Threads, 148
 
Optimal Number of Threads, 150
 
Take Away from Thread Optimization Model, 151
 

Product details

• Authors: Grinshpan, L Grinshpan, L. A. Grinshpan, Leonid Grinshpan, Grinshpan Leonid
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Paperback / Softback
• Released: 06.03.2012
• EAN: 9781118061572
• ISBN: 978-1-118-06157-2
• No. of pages: 256
• Subjects: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; Social sciences, law, business > Business > Miscellaneous; Informatik, computer science, Business & management, Software Management, Electrical & Electronics Engineering, Elektrotechnik u. Elektronik, Wirtschaft u. Management, Software-Management, Programm- u. Projektmanagement, Program & Project Management, Risiko-, Notfall- u. Krisenmanagement, Risk, Contingency & Crisis Management