Abstract: Methods and systems for monitoring quality of service (QOS) data for a plurality of storage volumes are provided. QOS data is collected for the plurality of storage volumes and includes a response time in which each of the plurality of storage volumes respond to an input/output (I/O) request. The process determines an average of N collected QOS data points at any given time; and iteratively analyzes 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. A subset of the N QOS data points based on when the step-up function or step-down function occurs is selected for analysis and an expected range for future QOS data based on the subset of the N QOS data points is generated.

Abstract: Methods and systems for managing resources in a storage system are provided. The methods include tracking performance of a plurality of resources used for reading and writing information at storage devices in a networked storage system, each resource represented by a logical object in a hierarchical structure and performance data associated with each logical object is maintained by a processor executing a management application out of a memory device; identifying a root object associated with a resource having a performance issue as indicated by a threshold violation for the resource; selecting a related object associated with a resource similar to the resource of the root object by the management application for comparing performance data of the root object with the related object; and using the comparison to verify that the root object is a root cause of the performance issue.

Abstract: Methods and systems for managing resources in a storage system are provided. The methods include tracking performance of a plurality of resources used for reading and writing information at storage devices in a networked storage system, each resource represented by a logical object in a hierarchical structure and performance data associated with each logical object is maintained by a processor executing a management application out of a memory device; identifying a root object associated with a resource having a performance issue as indicated by a threshold violation for the resource; selecting a related object associated with a resource similar to the resource of the root object by the management application for comparing performance data of the root object with the related object; and using the comparison to verify that the root object is a root cause of the performance issue.

Abstract: Methods and systems for monitoring quality of service (QOS) data for a plurality of storage volumes are provided. QOS data is collected for the plurality of storage volumes and includes a response time in which each of the plurality of storage volumes respond to an input/output (I/O) request. The process determines an average of N collected QOS data points at any given time; and iteratively analyzes 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. A subset of the N QOS data points based on when the step-up function or step-down function occurs is selected for analysis and an expected range for future QOS data based on the subset of the N QOS data points is generated.