Java Performance - Hunt, Charles J.; John, Binu

Java Performance

Charles J. Hunt Binu John 

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Produktinformation

  • Abmessung: 229mm x 178mm x 43mm
  • Gewicht: 915g
  • ISBN-13: 9780137142521
  • ISBN-10: 0137142528
  • Best.Nr.: 25180300
Charlie Hunt is the JVM performance lead engineer at Oracle. He is responsible for improving the performance of the HotSpot JVM and Java SE class libraries. He has also been involved in improving the performance of the Oracle GlassFish and Oracle WebLogic Server. A regular JavaOne speaker on Java performance, he also coauthored NetBeans(TM) IDE Field Guide (Prentice Hall, 2005). Binu John is a senior performance engineer at Ning, Inc., where he focuses on improving the performance and scalability of the Ning platform to support millions of page views per month. Before that, he spent more than a decade working on Java-related performance issues at Sun Microsystems, where he served on Sun's Enterprise Java Performance team. John has contributed to developing industry standard benchmarks such as SPECjms2007 and SPECJAppServer2010; published several performance whitepapers; and contributed to java.net's XMLTest and WSTest benchmark projects.
Foreword by James Gosling
xi
Foreword by Steve Wilson
xiii
Preface
xv
Acknowledgments
xix
About the Authors
xxi
Chapter 1:
Strategies, Approaches, and Methodologies
1
Forces at Play
2
Two Approaches, Top Down and Bottom Up
5
Choosing the Right Platform and Evaluating a System
8
Bibliography
11
Chapter 2: Operating System Performance Monitoring
13
Definitions
14
CPU Utilization
14
CPU Scheduler Run Queue
28
Memory Utilization
32
Network I/O Utilization
41
Disk I/O Utilization
46
Additional Command Line Tools
49
Monitoring CPU Utilization on SPARC T-Series Systems
50
Bibliography
53
Chapter 3: JVM Overview
55
HotSpot VM High Level Architecture
56
HotSpot VM Runtime
58
HotSpot VM Garbage Collectors
80
HotSpot VM JIT Compilers
92
HotSpot VM Adaptive Tuning
100
References
106
Chapter 4: JVM Performance Monitoring
107
Definitions
108
Garbage Collection
108
JIT Compiler
146
Class Loading
147
Java Application Monitoring
150
Bibliography
153
Chapter 5: Java Application Profiling
155
Terminology
157
Oracle Solaris Studio Performance Analyzer
159
NetBeans Profiler
189
References
209
Chapter 6: Java Application Profiling Tips and Tricks
211
Performance Opportunities
211
System or Kernel CPU Usage
212
Lock Contention
222
Volatile Usage
234
Data Structure Resizing
235
Increasing Parallelism
243
High CPU Utilization
246
Other Useful Analyzer Tips
247
Bibliography
249
Chapter 7: Tuning the JVM, Step by Step
251
Methodology
252
Application Systemic Requirements
255
Rank Systemic Requirements
257
Choose JVM Deployment Model
58
Choose JVM Runtime
259
GC Tuning Fundamentals
262
Determine Memory Footprint
268
Tune Latency/Responsiveness
278
Tune Application Throughput
307
Edge Cases
316
Additional Performance Command Line Options
316
Bibliography
321
Chapter 8: Benchmarking Java Applications
323
Challenges with Benchmarks
324
Design of Experiments
347
Use of Statistical Methods
348
Reference
355
Bibliography
355
Chapter 9: Benchmarking Multitiered Applications
357
Benchmarking Challenges
357
Enterprise Benchmark Considerations
360
Application Server Monitoring
382
Profiling Enterprise Applications
399
Bibliography
401
Chapter 10: Web Application Performance
403
Benchmarking Web Applications
404
Web Container Components
405
Web Container Monitoring and Performance Tunings
408
Best Practices
427
Bibliography
450
Chapter 11: Web Services Performance
453
XML Performance
454
Validation
460
Resolving External Entities
462
Partial Processing of XML Documents
465
Selecting the Right API
468
JAX-WS Reference Implementation Stack
471
Web Services Benchmarking
473
Factors That Affect Web Service Performance
477
Performance Best Practices
486
Bibliography
503
Chapter 12: Java Persistence and Enterprise Java Beans Performance
505
EJB Programming Model
506
The Java Persistence API and Its Reference Implementation
507
Monitoring and Tuning the EJB Container
511
Transaction Isolation Level
521
Best Practices in Enterprise Java Beans
522
Best Practices in Java Persistence
540
Bibliography
551
Appendix A: HotSpot VM Command Line Options of Interest
553
Appendix B: Profiling Tips and Tricks Example Source Code
573
Lock Contention First Implementation
573
Lock Contention Second Implementation
583
Lock Contention Third Implementation
593
Lock Contention Fourth Implementation
603
Lock Contention Fifth Implementation
613
First Resizing Variant
624
Second Resizing Variant
636
Increasing Parallelism Single-Threaded Implementation
647
Increasing Parallelism Multithreaded Implementation
657
Index
669
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