Store Into Instruction Stream: Searching for the Culprits to Save CPU
Project and Program:
MVS,
MVS Performance
Tags:
Proceedings ,
SHARE Virtual Experience 2021
CPU overhead caused by the programming anti-pattern of updating data that's too close to the instruction stream has long been a known problem. IBM came out with a nice formula that highlights time intervals where that may practice may be causing significant overhead. But that's only part of the battle: the next question is how do you find the possible culprits so you can remediate them?
Join Scott Chapman in this session as he reviews what SIIS is, why it is a problem, and the IBM metric for finding the problem timeframes. He'll then offer suggestions for finding candidates that may be causing the problem.
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