Method and storage and manipulation of storage system metrics

• US 7,082,441 B1
• Filed: 08/17/2000
• Issued: 07/25/2006
• Est. Priority Date: 08/17/2000
• Status: Expired due to Term

• Current Assignee: Emc IP Holding Company LLC (Dell Technologies Inc.)
• Original Assignee: EMC Corporation (Dell Technologies Inc.)
• Inventors: Arnan, Ron, Zahavi, William, Sapiro, Lee W., Thammavong, Saymai
• Primary Examiner(s): Channavajjala, Srirama
• Application Number:
  US09/641,224
• Time in Patent Office: 2,168 Days
• Field of Search: 707 1- 10, 707100-1041, 707200-205, 711 1- 10, 711160-175, 711110-118, 711/105, 711153-154, 711/203, 714 1- 7, 714 10- 13, 714/723, 709220-228
• US Class Current: 1/1
• CPC Class Codes: G06F 11/3476 Data logging G06F11/14, G06F11/2205 take precedence
• CPC Class Codes: G06F 11/3485 for I/O devices
• CPC Class Codes: Y10S 707/99953 Recoverability

Abstract

A method for storage and manipulation of storage system metrics incorporates a self-describing format wherein each data file includes a header block that contains the description and order of the periodic data. The header block is followed by a data block in which the data items are presented in the order that they appear in the data description block for that category. Two types of data are managed, including Base Metrics and Derived Metrics. Base Metrics are metrics that appear in the data file sent by an agent. Derived Metrics are computed based on a set of functions that derive new metrics from the base metrics as well as from previously defined derived metrics. A subset of the data block or file describes the configuration of the storage system at the time that the data file was created. Thus the data file contains a header section that in addition to describing the metrics also describes the configuration. A performance view component a user interface that facilitates access to the archives, and data manipulation effecting enhanced performance analysis, workload characterization and capacity planning. The performance view component facilitates generation of factory and user defined views of monitored metrics/parameters. Metrics from a storage system can be correlated using the performance view features, and parameters across machines can be correlated as well. System configuration(s) can be viewed and changed via the performance view user interface.

Claims

1. A method for storing performance information relating to a mass data storage system, comprising the steps of:

collecting performance information relating to operation of said mass data storage system; and

formatting said performance information into blocks including a header block setting forth at least one metric descriptor, and a data block containing data corresponding to said at least one metric descriptor in an order corresponding to an order of said metric descriptors in said header block;

wherein said header block defines at least two types of performance information including base performance information received from said mass data storage system and derived performance information computed using said base performance information.

2. The method of claim 1 further including the step of archiving said performance information.

3. The method of claim 1 further including the step of manipulating said performance information in accordance with a selected user function.

4. The method of claim 3 wherein said selected user function includes one of graphing and correlation.

5. The method of claim 3 wherein said selected user function includes one of graphing, correlation and configuration display.

6. The method of claim 3 wherein said selected user function is correlation, and said method further comprises the step of selecting one of a first correlation mode and a second correlation mode.

7. The method of claim 3 wherein said selected user function is configuration display, and said method further comprises the step of displaying information about a configuration of said mass data storage system when said step of formatting said performance information into blocks was performed.

8. The method of claim 1 wherein said step of formatting said performance information further includes formatting said header block to include a configuration block.

9. The method of claim 1 wherein said derived performance information is defined in a defined metrics table having entries including derived metric name, function name of a function for computing said derived metric and a dependent metrics list indicating metrics required to compute said derived metric.

10. The method according to claim 9 wherein said derived performance information is derived as a function of base performance information.

11. The method according to claim 9 wherein said derived performance information is defined in a derived performance information definition table.

12. The method of claim 6 wherein said first correlation mode is an automatic correlation mode in which a user can select a list of performance information for correlation.

13. The method of claim 12 wherein results of correlation are presented in a sorted list showing a coefficient of correlation of any two performance information metrics in the sorted list.

14. The method of claim 12 further comprising the step of displaying a graph that visualizes the correlation between said selected any two performance information metrics from said list of metrics.

15. The method of claim 6 wherein in said second correlation mode a user selects a first performance information list and a second performance information list for correlation.

16. The method of claim 15 wherein results of correlation are presented in a sorted list showing a coefficient of correlation of any two performance information metrics in the sorted list.

17. The method of claim 15 further comprising the step of displaying a graph that visualizes the correlation between said from each of said first performance information list and said second performance information list.

18. The method according to claim 1 wherein said at least one metric descriptor describes the order that base performance information is presented by an agent and includes a set of parameters that describe actions to be taken by a data manager.