IBM Power Systems Performance Guide: Implementing and Optimizing

An IBM Redbooks publication

Published 28 February 2013, updated 01 May 2013

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ISBN-10: 0738437662
ISBN-13: 9780738437668
IBM Form #: SG24-8080-00
(372 pages)

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Authors: Dino Quintero, Sebastien Chabrolles, Chi Hui Chen, Murali Dhandapani, Talor Holloway, Chandrakant Jadhav, Sae Kee Kim, Sijo Kurian, Bharath Raj, Ronan Resende, Bjorn Roden, Niranjan Srinivasan, Richard Wale, William Zanatta, Zhi Zhang


This IBM® Redbooks® publication addresses performance tuning topics to help leverage the virtualization strengths of the POWER® platform to solve clients’ system resource utilization challenges, and maximize system throughput and capacity. We examine the performance monitoring tools, utilities, documentation, and other resources available to help technical teams provide optimized business solutions and support for applications running on IBM POWER systems’ virtualized environments.

The book offers application performance examples deployed on IBM Power Systems™ utilizing performance monitoring tools to leverage the comprehensive set of POWER virtualization features: Logical Partitions (LPARs), micro-partitioning, active memory sharing, workload partitions, and more. We provide a well-defined and documented performance tuning model in a POWER system virtualized environment to help you plan a foundation for scaling, capacity, and optimization
This book targets technical professionals (technical consultants, technical support staff, IT Architects, and IT Specialists) responsible for providing solutions and support on IBM POWER systems, including performance tuning.

Table of contents

Chapter 1. IBM Power Systems and performance tuning
Chapter 2. Hardware implementation and LPAR planning
Chapter 3. IBM Power Systems virtualization
Chapter 4. Optimization of an IBM AIX operating system
Chapter 5. Testing the environment
Chapter 6. Application optimization
Appendix A. Performance monitoring tools and what they are telling us
Appendix B. New commands and new commands flags
Appendix C. Workloads

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