Optimizing System z Batch Applications by Exploiting Parallelism

A draft IBM Redpaper publication


This IBM® Redpaper™ publication shows you how to speed up batch jobs by splitting them into near-identical instances (sometimes referred to as ). It is a practical guide, which is based on the authors’ testing experiences with a batch job that is similar to those jobs that are found in customer applications. This guide documents the issues that the team encountered and how the issues were resolved. The final tuned implementation produced better results than the initial traditional implementation.

Because job splitting often requires application code changes, this guide includes a description of some aspects of application modernization you might consider if you must modify your application.

The authors mirror the intended audience for this paper because they are specialists in IBM DB2®, IBM Tivoli® Workload Scheduler for z/OS®, and z/OS batch performance.

Table of contents

Chapter 1. Introduction
Chapter 2. Data management considerations
Chapter 3. Application design considerations
Chapter 4. Considerations for job streams
Chapter 5. Operational considerations
Chapter 6. Resource management considerations
Chapter 7. Case study
Appendix A. Application modernization opportunities
Appendix B. Operational supplement


These pages are Web versions of IBM Redbooks- and Redpapers-in-progress. They are published here for those who need the information now and may contain spelling, layout and grammatical errors.

This material has not been submitted to any formal IBM test and is published AS IS. It has not been the subject of rigorous review. Your feedback is welcomed to improve the usefulness of the material to others.

IBM assumes no responsibility for its accuracy or completeness. The use of this information or the implementation of any of these techniques is a customer responsibility and depends upon the customer's ability to evaluate and integrate them into the customer's operational environment.


Last Update
30 June 2014

Planned Publish Date
08 August 2014

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