DASD & Tape Storage: Efficient Data Lifecycle Control and Cost Allocation
Project and Program:
Core Platform,
Storage Management
Tags:
Proceedings,
2026,
SHARE Pittsburgh 2026
This paper presents a practical approach to managing mainframe DASD and TAPE capacity using DCOLLECT, HSM, and RMM data. It highlights how efficient data movement between storage tiers impacts CPU usage, system performance, and overall cost. By analyzing dataset activity, aging, and usage patterns, organizations can optimize storage allocation and reduce unnecessary capacity. The study also demonstrates how integrating SMF, DCOLLECT, and RMM data enables transparent and accurate cost allocation across business units in big mainframe installation. Ultimately, the approach supports improved storage planning, cost control, and data management in enterprise mainframe environments.
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