Method and system for monitoring and analyzing quality of service in a storage system

A non-transitory machine readable storage medium having stored thereon instructions for performing a method, comprising machine executable code which when executed by at least one machine, causes the machine to:

• collect quality of service (QOS) data for a plurality of storage volumes from a storage operating system of a storage system having a plurality of resources;
• wherein the QOS data includes a response time in which each of the plurality of storage volumes respond to an input/output (I/O) request;
• a wait time for each I/O request at each of the resources of the storage system;
• and a number of visits for each I/O request at each of the resources of the storage system;
• determine an average of N collected QOS data points at any given time;
• iteratively analyze each QOS data point to detect if a step-up or a step-down function has occurred, where a step-up function represents an unpredictable increase in value of a data point and a step-down function is an unpredictable decrease in value of the data point;
• select a subset of the N QOS data points based on when the step-up function or step-down function occurs;
• generate an expected range for future QOS data based on the subset of the N QOS data points, where the expected range is a range of measured performance activity of a workload over a period of time for predicting future QOS data behavior of the storage volumes;
• and
• monitor QOS data for each storage volume for determining whether a current QOS data for each storage volume is within the expected range.

A system, comprising:

• a memory containing machine readable medium comprising machine executable code having stored thereon instructions;
• and a processor module coupled to the memory, the processor module configured to execute the machine executable code to:
• collect quality of service (QOS) data for a plurality of storage volumes from a storage operating system of a storage system having a plurality of resources;
• wherein the QOS data includes a response time in which each of the plurality of storage volumes respond to an input/output (I/O) request;
• a wait time for each I/O request at each of the resources of the storage system;
• and a number of visits for each I/O request at each of the resources of the storage system;
• determine an average of N collected QOS data points at any given time;
• iteratively analyze each QOS data point to detect if a step-up or a step-down function has occurred, where a step-up function represents an unpredictable increase in value of a data point and a step-down function is an unpredictable decrease in value of the data point;
• select a subset of the N QOS data points based on when the step-up function or step-down function occurs;
• generate an expected range for future QOS data based on the subset of the N QOS data points, where the expected range is a range of measured performance activity of a workload over a period of time for predicting future QOS data behavior of the storage volumes;
• and
• monitor QOS data for each storage volume for determining whether a current QOS data for each storage volume is within the expected range.