Appendix A. Version 8.2 PTFs and a Version 8.3 preview 671
Workload Scheduler messages (AWS) to the server MLOG and to the
System Output Console (SYSLOG).
End-to-end reduce network shutdown.
– APAR PK11811 improves the scheduling system by reducing the
“inactivity window” in the end-to-end environment.
End-to-end server messages were not written to SYSLOG.
– APAR PK11314 End-to-end Server messages are not written to SYSLOG
to allow automatic detection of end-to-end server messages via system
automation tools.
Tivoli Workload Scheduler for z/OS Workload Manager integration
requirement.
– APARs PK08998, PK08999, and PK09001 provide Tivoli Workload
Scheduler for z/OS Workload Manager integration based on scheduling
environments. This enables optimal use of available resources and to
ensure that you are getting the most from your existing resources and that
the Workload between resources is automatically balanced for optimal
throughput and performance.
Preview of Tivoli Workload Scheduler for z/OS V8.3
The following enhancements are planned for the next release of Tivoli Workload
Scheduler for z/OS Version 8.3, which is scheduled to be available in 4Q 2006.
Enhance variables support in event-triggered jobs. This way there will be no
need to manually tailor event-triggered jobs.
Increase capability to schedule unplanned workload, via Event Trigger
Tracking (ETT). This will provide additional flexibility during event-driven
planning.
Improve special resources flexibility to simulate file dependencies. That way
there will be no need to manually change Special Resource availability status
in customer business process scenarios. This will reduce the Total Cost of
Ownership to implement common scenarios.
Critical paths will be determined by Tivoli Workload Scheduler for z/OS to
user-defined critical jobs. Operations on critical path will be automatically
promoted (via operation internal priority and WLM high-performance service
classes), to reduce operator manual intervention.
Introduce a delay between jobs to reduce Total Cost of Ownership in
implementing a solution to delay job submission respect to predecessor
completion.