Virtual storage savings: Thread history enhancements
In OMEGAMON AI for Db2 version 6.1.0, the Thread History component is enhanced to reduce virtual storage consumption and improve performance on supported z/OS platforms.
This is achieved by supporting the use 64-bit memory data structures instead of the previous
31-bit below-the-bar
memory. Using 64-bit memory allows Thread History to access a
larger memory space (above-the-bar
), enabling it to handle more data efficiently and
minimizing virtual storage constraints.
Additionally, improved data compression techniques reduce the size of thread history records stored in VSAM datasets. Combined with support for larger datasets (up to 4 GB) these changes reduce the number of dataset switches that are required during data collection. As a result, CPU usage decreases, and data processing becomes smoother.
For example, in heavy workload environments, earlier versions might have caused CPU spikes due to frequent VSAM switches. In version 6.1.0, the increased dataset size and 64-bit addressing help avoid this, providing more stable and efficient thread history collection.