Troubleshooting
Problem
Approximate performance degradation metrics when using PMI, JVMPI and PMI request metrics with ARM.
Resolving The Problem
PMI overhead is 3.0% when using the standard level setting, where most of the counters are enabled except for those with maximum level, and when running Tivoli® Performance Viewer at the same time. When JVMTI counters are enabled, significant performance degradation is observed.
JVMTI has 4 types of data: GC, Thread, Object, and Monitor. In a full JVMTI configuration where all 4 are enabled, the impact from the full JVMTI data is about 55%.
For PMI request metrics with ARM enabled, and no filters (instrumenting all requests), the overhead is approximately 7%. This overhead can be further mitigated by using the filtering capabilities.
If both PMI and PMI request metrics are enabled, the expected added performance degradation is 10%.
JVMTI has 4 types of data: GC, Thread, Object, and Monitor. In a full JVMTI configuration where all 4 are enabled, the impact from the full JVMTI data is about 55%.
For PMI request metrics with ARM enabled, and no filters (instrumenting all requests), the overhead is approximately 7%. This overhead can be further mitigated by using the filtering capabilities.
If both PMI and PMI request metrics are enabled, the expected added performance degradation is 10%.
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Document Information
Modified date:
11 October 2023
UID
swg21206317