Deriving Workload Expectations - Monitoring and Analysis Using HPC Job Profiles
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Layman, Brett Leasure
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Generating HPC Job Profiles and Expectations with Time-Series Data - Showcase Presentation
Summary: Job Profiles and Expectations provide important insights into workloads (Job Profile: window into how a job is running; Job Expectation: Is that job behaving as expected; Provides us with actionable information). Machine learning can be used to group job runs into workload types (Identified groups can then be used for generate expectations); Profiles and Expectations also enable the study of: System-wide events, tracking system changes; System resource utilization and scheduling; Marking log data for further investigation or failures/anomalies.
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