Optimizing System z Batch Applications by Exploiting Parallelism Optimizing System z Batch Applications by Exploiting Parallelism

Optimizing System z Batch Applications by Exploiting Parallelism

Publisher Description

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.

GENRE
Computing & Internet
RELEASED
2014
21 August
LANGUAGE
EN
English
LENGTH
132
Pages
PUBLISHER
IBM Redbooks
SELLER
International Business Machines Corp
SIZE
1.7
MB
IBM Business Process Manager V8.5 Performance Tuning and Best Practices IBM Business Process Manager V8.5 Performance Tuning and Best Practices
2015
Hadoop Operations Hadoop Operations
2012
Microsoft SQL Server 2008 Integration Services Microsoft SQL Server 2008 Integration Services
2010
HBase: The Definitive Guide HBase: The Definitive Guide
2011
IBM Business Process Manager Operations Guide IBM Business Process Manager Operations Guide
2016
Subsystem and Transaction Monitoring and Tuning with DB2 11 for z/OS Subsystem and Transaction Monitoring and Tuning with DB2 11 for z/OS
2022
Storage and Network Convergence Using FCoE and iSCSI Storage and Network Convergence Using FCoE and iSCSI
2014
Building Big Data and Analytics Solutions in the Cloud Building Big Data and Analytics Solutions in the Cloud
2014
IBM Technical Computing Clouds IBM Technical Computing Clouds
2013
IBM and Cisco: Together for a World Class Data Center IBM and Cisco: Together for a World Class Data Center
2013
Addressing Emerging Threats and Targeted Attacks with IBM Security Network Protection Addressing Emerging Threats and Targeted Attacks with IBM Security Network Protection
2014
Information Governance Principles and Practices for a Big Data Landscape Information Governance Principles and Practices for a Big Data Landscape
2014