Storage system performance models based on empirical component utilization

Patent metadata

Field	Value
Publication number	US-10528447-B2
Application number	US-201715594124-A
Country	US
Kind code	B2
Filing date	May 12, 2017
Priority date	May 12, 2017
Publication date	Jan 7, 2020
Grant date	Jan 7, 2020

Abstract

A computer-implemented method according to one embodiment includes identifying aggregated customer performance data for a system resource, creating a first system map for the system resource, utilizing the aggregated customer performance data, comparing the first system map to a second system map created for the system resource utilizing calibration data, and adjusting the second system map, based on the comparing.

First claim

What is claimed is:

1. A computer-implemented method, comprising:
identifying aggregated customer performance data for a system resource;
creating a first system map for the system resource, utilizing the aggregated customer performance data, wherein the first system map is created utilizing a general purpose utilization monitor (GPUM);
comparing the first system map to a second system map created for the system resource utilizing calibration data; and
adjusting the second system map, based on the comparing.

2. A computer program product for improving storage system performance models based on empirical component utilization, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a processor to cause the processor to perform a method comprising:
identifying aggregated customer performance data for a system resource, utilizing the processor;
creating a first system map for the system resource, utilizing the aggregated customer performance data, utilizing the processor, wherein the first system map is created utilizing a general purpose utilization monitor (GPUM);
comparing the first system map to a second system map created for the system resource utilizing calibration data, utilizing the processor; and
adjusting the second system map based on the comparing, utilizing the processor.

3. A system, comprising:
a processor; and
logic integrated with the processor, executable by the processor, or integrated with and executable by the processor, the logic being configured to:
identify aggregated customer performance data for a system resource;
create a first system map for the system resource, utilizing the aggregated customer performance data, wherein the first system map is created utilizing a general purpose utilization monitor (GPUM);
compare the first system map to a second system map created for the system resource utilizing calibration data; and
adjust the second system map, based on the comparison.

4. The computer-implemented method of claim 1 , wherein the system resource includes a component of a storage system.

5. The computer-implemented method of claim 1 , wherein the aggregated customer performance data includes a performance of the system resource in response to usage of the system resource by a plurality of different customers of a storage system.

6. The computer-implemented method of claim 1 , wherein creating the first system map includes filtering the aggregated customer performance data, including determining a subset of the aggregated customer performance data that shares one or more predetermined characteristics with the calibration data.

7. The computer-implemented method of claim 1 , wherein the calibration data includes a set of laboratory measurements used to calibrate one or more assumptions within a performance and capacity sizing model for a storage system.

8. The computer-implemented method of claim 1 , wherein creating the first system map includes estimating one or more customer performance service time overheads for the system resource, utilizing a filtered portion of the aggregated customer performance data, and generating the first system map utilizing the one or more customer performance service time overheads.

9. The computer-implemented method of claim 1 , wherein the calibration data is generated by running a set of synthetic benchmarks against a storage system and measuring a response in a laboratory setting.

10. The computer-implemented method of claim 1 , wherein comparing the first system map to the second system map includes determining one or more differences between the first system map and the second system map.

11. The computer program product of claim 2 , wherein the system resource includes a component of the storage system.

12. The computer program product of claim 2 , wherein the aggregated customer performance data includes a performance of the system resource in response to usage of the system resource by a plurality of different customers of a storage system.

13. The computer program product of claim 2 , wherein creating the first system map includes filtering the aggregated customer performance data, including determining a subset of the aggregated customer performance data that shares one or more predetermined characteristics with the calibration data, utilizing the processor.

14. The computer program product of claim 2 , wherein the calibration data includes a set of laboratory measurements used to calibrate one or more assumptions within a performance and capacity sizing model for a storage system.

15. The computer program product of claim 2 , wherein creating the first system map includes estimating one or more customer performance service time overheads for the system resource, utilizing a filtered portion of the aggregated customer performance data, and generating the first system map utilizing the one or more customer performance service time overheads, utilizing the processor.

16. The computer program product of claim 2 , wherein the calibration data is generated by running a set of synthetic benchmarks against a storage system and measuring a response in a laboratory setting.

17. The computer program product of claim 2 , wherein comparing the first system map to the second system map includes determining one or more differences between the first system map and the second system map, utilizing the processor.

18. The computer-implemented method of claim 10 , wherein the second system map is adjusted to eliminate or reduce the one or more differences between the first system map and the second system map.

Assignees

• IBM

Inventors

• Campos Peiro Eduardo
• Martin Joshua D
• Mcnutt Bruce
• Miller Vernon W

Classifications

• G06F11/3442

  for planning or managing the needed capacity · CPC title

• G06F11/3485

  for I/O devices · CPC title

• G06F11/3414

  Workload generation, e.g. scripts, playback · CPC title

• G06F2201/88

  Monitoring involving counting · CPC title

• G06F11/3409

  for performance assessment · CPC title