Method for identifying ways to improve performance in computer data storage systems

• US 5,623,598 A
• Filed: 11/22/1994
• Issued: 04/22/1997
• Est. Priority Date: 11/22/1994
• Status: Expired due to Term

• Current Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.), Mercedes-Benz AG (Mercedes-Benz Group AG)
• Original Assignee: Hewlett-Packard Company (HP Inc.)
• Inventors: Voigt, Douglas L., Nelson, Marvin D., Dolphin, Wade A.
• Primary Examiner(s): Harvey, Jack B.
• Assistant Examiner(s): Lefkowitz, Sumati
• Application Number:
  US08/343,809
• Time in Patent Office: 882 Days
• Field of Search: 395/183.02, 395/184.01, 395/140, 395/155, 395/157, 395/161, 364/551.01
• US Class Current: 714/47.2
• CPC Class Codes: G06F 11/321 Display for diagnostics, e.g. diagnostic result display, self-test user interface
• CPC Class Codes: G06F 11/328 Computer systems status display G06F11/327 takes precedence
• CPC Class Codes: G06F 11/34 Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 11/3485 for I/O devices
• CPC Class Codes: G06F 2201/86 Event-based monitoring

Abstract

A method is provided for identifying areas for performance improvement in data storage systems. The method includes the following steps: (1) sampling a performance metric during operation of the data storage system; (2) presenting to a user a performance history that is indicative of how the data storage system is performing over a period of time; (3) permitting the user to select an evaluation interval of the performance history; (4) determining whether the performance metric is at a level for desired performance of the data storage system for the selected evaluation interval; and (5) providing at least one suggestion to the user that would help improve performance of the data storage system in the event that the performance metric is not at the level for optimal performance.

Claims

1. A method for identifying areas for performance improvement in a data storage system, the method comprising the following steps:

sampling a performance metric during operation of the data storage system;

presenting to a user a performance history that is indicative of how the data storage system is performing over a period of time;

permitting the user to select an evaluation interval of the performance history;

determining whether the performance metric is at a level for optimal performance of the data storage system for the selected evaluation interval; and

based upon said determination of the performance metric for the selected evaluation interval providing at least one suggestion to the user that would help improve performance of the data storage system in the event that the performance metric is not at the level for optimal performance.

2. A method according to claim 1 wherein the presenting step comprises displaying the performance history on a display screen.

3. A method according to claim 1 further comprising displaying the suggestion on a display screen.

4. A method according to claim 1 further comprising graphically displaying the performance metric on the display screen.

5. A method according to claim 1 wherein the presenting step comprises graphically displaying the performance history on a display screen and the permitting step comprises permitting the user to select an evaluation interval of the performance history by allowing graphical manipulation of an interval region overlaid on the performance history.

6. A method according to claim 1 wherein the determining step comprises ascertaining an extent to which the performance metric is not at the level for optimal performance.

7. A method according to claim 1 wherein the determining step comprises averaging the samples of the performance metric measured over time to derive a representative average performance metric.

8. A method according to claim 1 wherein the determining step comprises:

combining the samples of the performance metric measured over time; and

filtering the combined samples to derive a representative value indicative of the performance metric.

9. A method for identifying areas for performance improvement in a data storage system, the method comprising the following steps:

defining multiple performance metrics that can be measured during operation of the data storage system;

providing a specification for the performance metrics whereby the data storage system is operating at optimal performance when the performance metrics are in compliance with the specification;

sampling the performance metrics during operation of the data storage system;

constructing a performance history that is indicative of how the data storage system is performing over a period of time based upon storage demands imposed by a user;

presenting the performance history to the user;

enabling the user to select an evaluation interval of the performance history;

determining whether any performance metric is not in compliance with the specification for the selected evaluation interval; and

in the event that one or more performance metrics are not in compliance with the specification, providing suggestions that would help improve performance of the data storage system based upon which of the one or more performance metrics are not in compliance with the specification for the selected evaluation interval.

10. A method according to claim 9 further comprising displaying the suggestions on a display screen.

11. A method according to claim 9 further comprising graphically displaying one or more performance metrics on the display screen.

12. A method according to claim 9 wherein the specification includes a threshold for individual performance metrics;

and

the determining step comprises averaging individual performance metrics for the evaluation interval and comparing the averaged performance metrics with their respective thresholds.

13. A method according to claim 9 wherein the determining step comprises ascertaining an extent to which one or more performance metrics are not in compliance with the specification.

14. A method according to claim 9 wherein the specification includes multiple thresholds for individual performance metrics;

and

the determining step for individual performance metrics comprises;

averaging the performance metric for the evaluation interval;

comparing the averaged performance metric to the multiple thresholds; and

computing degree of noncompliance based upon which of the multiple thresholds the performance metric exceeds.

15. A method according to claim 9 wherein:

the presenting step comprises graphically displaying the performance history on a display screen; and

the enabling step comprises graphically overlaying an interval region on the performance history and permitting the user to select the evaluation interval by graphically manipulating the interval region.

16. A method according to claim 9 further comprising:

listing multiple predetermined suggestions in a table which correlates the suggestions to the performance metrics; and

the suggestions providing step comprises extracting one or more suggestions from the table based upon which of the one or more performance metrics are not in compliance with the specification.