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Optimizing Linux Performance: A Hands-On Guide to Linux Performance Tools

ISBN: 0131486829
EAN: 2147483647

Year: 2004
Pages: 132

Authors: Phillip G. Ezolt

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• Optimizing Linux Performance: A Hands-On Guide to Linux Performance Tools
• Table of Contents
• Copyright
• Hewlett-Packard Professional Books
• Preface
• Why Is Performance Important?
• Linux: Strengths and Weakness
• How Can This Book Help You?
• Why Learn How to Use Performance Tools?
• Can I Tune for Performance?
• Who Should Read This Book?
• How Is This Book Organized?
• Acknowledgments
• About the Author
• Chapter 1. Performance Hunting Tips
• 1.1. General Tips
• 1.2. Outline of a Performance Investigation
• 1.3. Chapter Summary
• Chapter 2. Performance Tools: System CPU
• 2.1. CPU Performance Statistics
• 2.2. Linux Performance Tools: CPU
• 2.3. Chapter Summary
• Chapter 3. Performance Tools: System Memory
• 3.1. Memory Performance Statistics
• 3.2. Linux Performance Tools: CPU and Memory
• 3.3. Chapter Summary
• Chapter 4. Performance Tools: Process-Specific CPU
• 4.1. Process Performance Statistics
• 4.2. The Tools
• 4.3. Chapter Summary
• Chapter 5. Performance Tools: Process-Specific Memory
• 5.1. Linux Memory Subsystem
• 5.2. Memory Performance Tools
• 5.3. Chapter Summary
• Chapter 6. Performance Tools: Disk IO
• 6.1. Introduction to Disk IO
• 6.2. Disk IO Performance Tools
• 6.3. What s Missing?
• 6.4. Chapter Summary
• Chapter 7. Performance Tools: Network
• 7.1. Introduction to Network IO
• 7.2. Network Performance Tools
• 7.3. Chapter Summary
• Chapter 8. Utility Tools: Performance Tool Helpers
• 8.1. Performance Tool Helpers
• 8.2. Tools
• 8.3. Chapter Summary
• Chapter 9. Using Performance Tools to Find Problems
• 9.1. Not Always a Silver Bullet
• 9.2. Starting the Hunt
• 9.3. Optimizing an Application
• 9.4. Optimizing a System
• 9.5. Optimizing Process CPU Usage
• 9.6. Optimizing Memory Usage
• 9.7. Optimizing Disk IO Usage
• 9.8. Optimizing Network IO Usage
• 9.9. The End
• 9.10. Chapter Summary
• Chapter 10. Performance Hunt 1: A CPU-Bound Application (GIMP)
• 10.1. CPU-Bound Application
• 10.2. Identify a Problem
• 10.3. Find a BaselineSet a Goal
• 10.4. Configure the Application for the Performance Hunt
• 10.5. Install and Configure Performance Tools
• 10.6. Run Application and Performance Tools
• 10.7. Analyze the Results
• 10.8. Jump to the Web
• 10.9. Increase the Image Cache
• 10.10. Hitting a (Tiled) Wall
• 10.11. Solving the Problem
• 10.12. Verify Correctness?
• 10.13. Next Steps
• 10.14. Chapter Summary
• Chapter 11. Performance Hunt 2: A Latency-Sensitive Application (nautilus)
• 11.1. A Latency-Sensitive Application
• 11.2. Identify a Problem
• 11.3. Find a BaselineSet a Goal
• 11.4. Configure the Application for the Performance Hunt
• 11.5. Install and Configure Performance Tools
• 11.6. Run Application and Performance Tools
• 11.7. Compile and Examine the Source
• 11.8. Using gdb to Generate Call Traces
• 11.9. Finding the Time Differences
• 11.10. Trying a Possible Solution
• 11.11. Chapter Summary
• Chapter 12. Performance Hunt 3: The System-Wide Slowdown (prelink)
• 12.1. Investigating a System-Wide Slowdown
• 12.2. Identify a Problem
• 12.3. Find a BaselineSet a Goal
• 12.4. Configure the Application for the Performance Hunt
• 12.5. Install and Configure Performance Tools
• 12.6. Run Application and Performance Tools
• 12.7. Simulating a Solution
• 12.8. Reporting the Problem
• 12.9. Testing the Solution
• 12.10. Chapter Summary
• Chapter 13. Performance Tools: What s Next?
• 13.1. The State of Linux Tools
• 13.2. What Tools Does Linux Still Need?
• 13.3. Performance Tuning on Linux
• 13.4. Chapter Summary
• Appendix A. Performance Tool Locations
• Appendix B. Installing oprofile
• B.1 Fedora Core 2 (FC2)
• B.2 Enterprise Linux 3 (EL3)
• B.3 SUSE 9.1
• Index
• index_SYMBOL
• index_A
• index_B
• index_C
• index_D
• index_E
• index_F
• index_G
• index_H
• index_I
• index_J
• index_K
• index_L
• index_M
• index_N
• index_O
• index_P
• index_R
• index_S
• index_T
• index_U
• index_V
• index_W
• index_X