Dell Products Inc.

Peter Linden

Owen Martin

Michael J Scharland

Jaeyoo Jung

Robert Lucey

Wednesday Wolf

Individual processors of a storage system are analyzed to determine which thread types are most important for servicing a run workload, where importance is measured by number of CPU cycles used. Permutations of differentiated access to CPU cycles are calculated, where the most important thread types are provided with greater access to CPU cycles than thread types of lesser importance. The permutations are tested with the same run workload to determine which permutation yields the greatest average IOPS. The thread scheduler for the processor is configured with that permutation.

Informed optimization of thread group scheduling

A method, comprising: obtaining a parsed trace log that is generated by parsing a raw trace log of a storage system, the parsed trace log identifying a first sequence of tasks that are executed as part of a same input-output (I/O) operation; classifying the first sequence of tasks by using a machine learning model, the first sequence of tasks being classified into one of a first category and a second category, the first category corresponding to anomalous events, and the second category corresponding to non-anomalous events; when the first sequence of tasks is classified in the first category: identifying an anomaly code that corresponds to the first sequence of tasks and generating an alert that is associated with the anomaly code, the anomaly code being identified based on a distance between the first sequence of tasks and a second sequence of tasks that is mapped to the anomaly code.

Growing community of inventors

Boston, MA, United States of America

Peter Linden