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

Patent metadata

Field	Value
Publication number	US-9411834-B2
Application number	US-201414154992-A
Country	US
Kind code	B2
Filing date	Jan 14, 2014
Priority date	Jan 14, 2014
Publication date	Aug 9, 2016
Grant date	Aug 9, 2016

Abstract

Methods and systems for identifying a victim storage volume from among a plurality of storage volumes based on a comparison of current Quality of Service (QOS) data with a dynamic threshold value that is based on historical QOS collected data for the plurality of storage volumes are provided. A performance manager collects the current and historical QOS data from a storage operating system of the storage system, which includes a response time in which each of the plurality of storage volumes respond to an input/output (I/O) request. The current and historical QOS data for the resources used by the victim storage volume are retrieved and compared with the current QOS data of each resource to an expected range based on the historical QOS data. Another storage volume is identified as a bully when its usage of a resource in contention contributes to creating the victim storage volume.

First claim

What is claimed is:

1. A machine implemented method, comprising:
identifying a victim storage volume from among a plurality of storage volumes based on a comparison of current Quality of Service (QOS) data with a dynamic threshold value that is based on historical QOS data for the plurality of storage volumes;
wherein the victim storage volume QOS data is negatively impacted by another storage volume's usage of resources within a storage system; and
wherein a performance manager collects the current and historical QOS data from a storage operating system of the storage system, which includes a response time in which each of the plurality of storage volumes respond to an input/output (I/O) request;
retrieving current and historical QOS data for the resources used by the victim storage volume and comparing the current QOS data of each resource to an expected range based on the historical QOS data; wherein the expected range is a range of measured performance activity of a workload over a period of time;
determining an impact of each resource and identifying the resource that is in contention based on the impact of each resource on the victim storage volume; and
identifying the another storage volume whose usage of the resource in contention contributes to creating the victim storage volume.

2. The method of claim 1 , wherein the performance manager identifies the another storage volume as a bully storage volume when the another storage volume has a high service time for the resource in contention.

3. The method of claim 1 , wherein the performance manager identifies the another storage volume as a bully storage volume when the another storage volume has a high visit rate or a high utilization of the resource in contention.

4. The method of claim 1 , wherein the performance manager identifies a secondary victim storage volume which has a high wait time at the resource in contention compared to historical wait times at the resource in contention.

5. The method of claim 1 , wherein the performance manager identifies a secondary victim storage volume which has low visit rates at the resource in contention compared to historical visit rates at the resource in contention.

6. The method of claim 1 , wherein QOS data includes a wait time for processing 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 within the storage system.

7. The method of claim 1 , wherein the performance manager presents a remediation plan to a client for the victim storage volume.

8. The method of claim 1 , wherein the resources at the storage system are categorized as a service center that service a request and a delay center that moves the request to a next destination.

9. The method of claim 8 , wherein the performance manager tracks QOS data for each service center and delay center for identifying the victim storage volume.

10. A non-transitory, machine readable storage medium storing executable instructions, which when executed by a machine, causes the machine to perform a method, the method comprising:
identifying a victim storage volume from among a plurality of storage volumes based on a comparison of current Quality of Service (QOS) data with a dynamic threshold value that is based on historical QOS data for the plurality of storage volumes;
wherein the victim storage volume QOS data is negatively impacted by another storage volume's usage of resources within a storage system; and
wherein a performance manager collects the current and historical QOS data from a storage operating system of the storage system, which includes a response time in which each of the plurality of storage volumes respond to an input/output (I/O) request;
retrieving current and historical QOS data for the resources used by the victim storage volume and comparing the current QOS data of each resource to an expected range based on the historical QOS data; wherein the expected range is a range of measured performance activity of a workload over a period of time;

determining an impact of each resource and identifying the resource that is in contention based on the impact of each resource on the victim storage volume; and
identifying the another storage volume whose usage of the resource in contention contributes to creating the victim storage volume.

11. The storage medium of claim 10 , wherein the performance manager identifies the another storage volume as a bully storage volume when the another storage volume has a high service time for the resource in contention.

12. The storage medium of claim 10 , wherein the performance manager identifies the another storage volume as a bully storage volume when the another storage volume has a high visit rate or a high utilization of the resource in contention.

13. The storage medium of claim 10 , wherein the performance manager identifies a secondary victim storage volume which has a high wait time at the resource in contention compared to historical wait times at the resource in contention.

14. The storage medium of claim 10 , wherein the performance manager identifies a secondary victim storage volume which has a low visit rate at the resource in contention compared to historical visit rates at the resource in contention.

15. The storage medium of claim 10 , wherein QOS data includes a wait time for processing 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 within the storage system.

16. The storage medium of claim 10 , wherein the performance manager presents a remediation plan for the victim storage volume.

17. The storage medium of claim 10 , wherein the resources at the storage system are categorized as a service center that service a request and a delay center that moves the request to a next destination.

18. The storage medium of claim 17 , wherein the performance manager tracks QOS data for each service center and delay center for identifying the victim storage volume.

19. A system, comprising:
a processor of a storage system executing a storage operating system for managing access to a plurality of storage volumes for storing information at a plurality of storage devices; and
a processor for a performance manager executing instructions out of a memory for:
identifying a victim storage volume from among the plurality of storage volumes based on a comparison of current Quality of Service (QOS) data with a dynamic threshold value that is based on historical QOS data for the plurality of storage volumes, where the current and historical QOS data include a response time in which each of the plurality of storage volumes respond to an input/output (I/O) request;

retrieving historical QOS data for the resources used by the victim storage volume and comparing current QOS data of each resource to an expected range based on the retrieved data; wherein the expected range is a range of measured performance activity of a workload over a period of time;
determining an impact of each resource;
identifying the resource that is in contention based on the impact of each resource; and
identifying another storage volume whose usage of the resource in contention results in creating the victim storage volume.

20. The system of claim 19 , wherein the performance manager identifies the another storage volume as a bully storage volume when the another storage volume has a high service time or a high visit rate for the resource in contention.

21.

Assignees

• Netapp Inc

Inventors

• Hrischuk Curtis
• Wu Siu
• Fairbanks Leon
• Faulkner Kevin

Classifications

• G06F11/3034 Primary

  where the computing system component is a storage system, e.g. DASD based or network based (digital input from or digital output to record carriers G06F3/06; digital recording or reproducing G11B20/18; for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS], H04L67/1097) · CPC title

• G06F17/30289 Primary

  Physics · mapped topic

• G06F16/21 Primary

  Design, administration or maintenance of databases · CPC title

• G06F3/0634

  by changing the state or mode of one or more devices · CPC title

• G06F3/0635

  by changing the path, e.g. traffic rerouting, path reconfiguration · CPC title