IMS TM Performance and Tuning

Kurscode CMW21G
Kurssprache Deutsch
Unterlagen Englisch
Anbieter IBM
Preis 2400,00 Euro exkl. USt
Dauer 3 Tage
Kurstermine 17 Termine

Learn a methodology to improve the performance of a large-scale z/OS IMS/TM data communication system. This course explains the impact of user-specified options on IMS performance, how to determine performance bottlenecks by interpreting information from certain performance reports, and how to use the information gained to implement a plan to improve the performance of an IMS system.


This advanced course is for experienced IMS system programmers or performance analysts responsible for the performance of a large-scale IMS DB/DC system.


You should have moderate level of knowledge of IMS/TM which can be gained through work experience or through completing the IMS System Programming: Database and Transaction Management - ILO (CMW11)


Ort des Kurses Kursbeginn  
Stuttgart 28. September 2020 Buchen
Virtual Classroom 05. Oktober 2020 Buchen
Virtual Classroom 04. November 2020 Buchen
Hamburg 23. November 2020 Buchen
Virtual Classroom 02. Dezember 2020 Buchen
Virtual Classroom 11. Januar 2021 Buchen
Virtual Classroom 03. Februar 2021 Buchen
Virtual Classroom 03. März 2021 Buchen
Virtual Classroom 12. April 2021 Buchen
Virtual Classroom 03. Mai 2021 Buchen
Virtual Classroom 07. Juni 2021 Buchen
Virtual Classroom 05. Juli 2021 Buchen
Virtual Classroom 02. August 2021 Buchen
Virtual Classroom 01. September 2021 Buchen
Virtual Classroom 04. Oktober 2021 Buchen
Virtual Classroom 03. November 2021 Buchen
Virtual Classroom 01. Dezember 2021 Buchen


  • Monitoring and Tuning Overview
  • IMS Structure and Major Control Blocks
  • The IMS Logger and Pool Management
  • IMS Communication Component
  • IMS OTMA (Open Transaction Management Access) Communication Component
  • z/OS Considerations for IMS
  • IMS Scheduling
  • IMS Program Loading Options
  • IMS Program Elapsed Time
  • IMS Database Buffering


  • Create and implement a performance improvement plan based on the methodology presented
  • Discuss the performance options available to the IMS user
  • Describe the performance impact of the IMS storage pools and datasets and their interrelationships
  • Interpret the information contained in performance reports
  • Analyze the performance reports to determine performance bottlenecks in the IMS system

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