Methods and systems for characterizing computing system performance using peer-derived performance severity and symptom severity models

An analysis server, comprising:

• a processor;
• a memory communicatively coupled to the processor;
• and
• a set of instructions on the memory that, when executed by the processor, cause the processor to, for each of a plurality of measurement intervals and for each of a plurality of computing systems,
• determine operation information describing a plurality of operations that are executed over the measurement interval by the computing system, wherein the plurality of operations are characterized by a plurality of operation sizes and a plurality of operation types, and wherein the operation information includes an operation count and an average operation latency for each group of the operations that share a common operation size and operation type;
• receive performance characteristics describing a state of the computing system during the measurement interval;
• and
• store the operation information and the performance characteristics with an interval identifier of the measurement interval and a system identifier of the computing system, thereby forming a correspondence between the operation information and the performance characteristics that share a common measurement interval and relate to a common computing system,
• wherein forming the correspondence comprises configuring the memory according to a logical table, said logical table including a plurality of logical rows and columns, and wherein the operation information, the performance characteristics, the interval identifier and the system identifier are stored in one of the logical rows.

A non-transitory machine-readable storage medium comprising software instructions that, when executed by a processor of an analysis server, cause the processor to, for each of a plurality of measurement intervals and for each of a plurality of computing systems:

• determine operation information describing a plurality of operations that are executed over the measurement interval by the computing system, wherein the plurality of operations are characterized by a plurality of operation sizes and a plurality of operation types, and wherein the operation information includes an operation count and an average operation latency for each group of the operations that share a common operation size and operation type;
• receive performance characteristics describing a state of the computing system during the measurement interval;
• and
• store the operation information and the performance characteristics with an interval identifier of the measurement interval and a system identifier of the computing system, thereby forming a correspondence between the operation information and the performance characteristics that share a common measurement interval and relate to a common computing system,
• wherein forming the correspondence comprises configuring a memory according to a logical table, said logical table including a plurality of logical rows and columns, and wherein the operation information, the performance characteristics, the interval identifier and the system identifier are stored in one of the logical rows.