Learn how to more accurately predict end-to-end performance improvements by using faster CPUs or DASD
Over the years mainframe storage has become immensely complex, making it difficult to understand I/O constraints.
Today’s mainframes typically have multiple LPARS connected through switches and directors to disk subsystems. It is possible to overcome the visibility gap in modern storage systems by using best practices and implementing storage intelligence.
With the methodology outlined in this paper, learn how to more accurately predict end-to-end performance improvements by using faster CPUs or DASD. This information is vital when considering business tradeoffs between CPU and storage upgrades.
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