Input/output (IO) performance anomaly detection system and method

A computer program product residing on a non-transitory computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising:

• processing historical input/output (IO) performance data associated with one or more storage objects of a storage system;
• applying a smoothing model on at least a portion of the historical IO performance data to generate forecast IO performance data;
• comparing the forecast IO performance data to observed IO performance data to generate one or more performance differentials;
• generating a normal IO performance range based upon, at least in part, the one or more performance differentials;
• detecting one or more IO performance anomalies based upon, at least in part, the normal IO performance range, wherein detecting one or more IO performance anomalies based upon, at least in part, the normal IO performance range includes:
• determining an amplitude and a duration of one or more IO performance outliers based upon, at least in part, the normal IO performance range, and
• detecting the one or more IO performance anomalies based upon, at least in part, one or more of the amplitude and the duration of the one or more IO performance outliers;
• and
• performing a remedial action on the storage system based upon, at least in part, the one or more IO performance anomalies, wherein performing the remedial action includes automatically adjusting allocated storage space for the one or more storage objects based upon, at least in part, the one or more IO performance anomalies.

A computing system comprising:

• a memory;
• and
• a processor configured to:
• process historical input/output (IO) performance data associated with one or more storage objects of a storage system,
• apply a smoothing model on at least a portion of the historical IO performance data to generate forecast IO performance data,
• compare the forecast IO performance data to observed IO performance data to generate one or more performance differentials,
• generate a normal IO performance range based upon, at least in part, the one or more performance differentials,
• detect one or more IO performance anomalies based upon, at least in part, the normal IO performance range, wherein detecting one or more IO performance anomalies based upon, at least in part, the normal IO performance range includes:
• determining an amplitude and a duration of one or more IO performance outliers based upon, at least in part, the normal IO performance range;
• and
• detecting the one or more IO performance anomalies based upon, at least in part, one or more of the amplitude and the duration of the one or more IO performance outliers;
• and
• perform a remedial action on the storage system based upon, at least in part, the one or more IO performance anomalies, wherein performing the remedial action includes automatically adjusting allocated storage space for the one or more storage objects based upon, at least in part, the one or more IO performance anomalies.