PEAK CYCLICAL WORKLOAD-BASED STORAGE MANAGEMENT IN A MULTI-TIER STORAGE ENVIRONMENT

• US 20150326656A1
• Filed: 05/09/2014
• Published: 11/12/2015
• Est. Priority Date: 05/09/2014
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Guo, Yong, Li, Jun Tao, Xu, Yan, Hossain, Kaisar R.
• Granted Patent: US 10,484,470 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04L 67/1008 based on parameters of servers, e.g. available memory or workload monitoring of computer activity G06F11/30
• CPC Class Codes: H04L 67/101 based on network conditions
• CPC Class Codes: H04L 67/1097 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]

Abstract

In one embodiment, a system includes a processor and logic integrated with and/or executable by the processor, the logic being configured to cause the processor to: collect, by the processor, workload information for a computing/storage device for a present time period and one or more previous time periods; determine, by the processor, a maximum workload parameter for the present time period and the one or more previous time periods; determine, by the processor, a maximum workload threshold that corresponds to the maximum workload parameter; compute, by the processor, a difference between the maximum workload threshold and the maximum workload parameter; and determine, by the processor, an amount of workload to move to the computing/storage device based on the difference. Other methods and computer program products are presented in additional embodiments.

Claims

1. A method for managing data, the method comprising:

collecting workload information for one or more computing/storage devices in a tiered data storage system over a period of time;

determining a peak workload for the period of time on a per rank basis;

determining a maximum workload threshold for the one or more computing/storage devices in the tiered data storage system over the period of time; and

preventing movement of additional workload to the one or more computing/storage devices in the tiered data storage system over the period of time when adding the additional workload to the peak workload causes overload of the one or more computing/storage devices in the tiered data storage system.

2. The method as recited in claim 1, further comprising determining an amount of workload to move to the one or more computing/storage devices in the tiered data storage system based on a difference between the maximum workload threshold and the peak workload.

3. The method as recited in claim 1, wherein the period of time encompasses a cyclical workload pattern for the tiered data storage system.

4. The method as recited in claim 3, wherein the period of time is at least three days.

5. The method as recited in claim 3, wherein the period of time is seven days.

6. The method as recited in claim 1, wherein the workload information comprises a bandwidth of data input and output from the one or more computing/storage devices, and wherein the peak workload is a peak bandwidth of the one or more computing/storage devices.

7. The method as recited in claim 1, wherein the determining the peak workload for the period of time on the per rank basis, the determining the maximum workload threshold, and the preventing movement of the additional workload is performed for each of the one or more computing/storage devices individually.

8. The method as recited in claim 1, wherein the method is performed once per day.

9. A system, comprising a processor and logic integrated with and/or executable by the processor, the logic being configured to cause the processor to:

collect, by the processor, workload information for a computing/storage device for a present time period and one or more previous time periods;

determine, by the processor, a maximum workload parameter for the present time period and the one or more previous time periods;

determine, by the processor, a maximum workload threshold that corresponds to the maximum workload parameter,

compute, by the processor, a difference between the maximum workload threshold and the maximum workload parameter, and

determine, by the processor, an amount of workload to move to the computing/storage device based on the difference.

10. The system as recited in claim 9, wherein the amount of workload moved to the computing/storage device is greater when the difference is greater than the amount of workload moved to the computing/storage device when the difference is less.

11. The system as recited in claim 9, wherein the time period is one day.

12. The system as recited in claim 9, wherein the one or more previous time periods includes at least two previous time periods.

13. The system as recited in claim 9, wherein the workload information comprises a bandwidth of data input and output from the computing/storage device, and wherein the maximum workload parameter comprises a peak bandwidth of the computing/storage device.

14. The system as recited in claim 9, wherein the computing/storage device comprises at least one of:

random access memory (RAM), a direct access storage device (DASD), an array of DASDs, and a redundant array of independent disks (RAID).

15. The system as recited in claim 9, wherein the time period is one day and the one or more previous time periods includes at least two previous days.

16. The system as recited in claim 9, wherein the amount of workload to move to the computing/storage device is determined again after each time period.

17. A computer program product for managing data, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code executable by a processor to cause the processor to:

collect workload information for a computing/storage device for a present time period and one or more previous time periods;

determine a maximum workload parameter for the present time period and the one or more previous time periods;

determine a maximum workload threshold that corresponds to the maximum workload parameter;

compute a difference between the maximum workload threshold and the maximum workload parameter; and

determine an amount of workload to move to the computing/storage device based on the difference.

18. The computer program product as recited in claim 17, wherein the amount of workload moved to the computing/storage device is greater when the difference is greater than the amount of workload moved to the computing/storage device when the difference is less, wherein the time period is one day, wherein the one or more previous time periods includes at least two previous days, wherein the workload information comprises a bandwidth of data input and output from the computing/storage device, and wherein the maximum workload parameter comprises a peak bandwidth of the computing/storage device.

19. The computer program product as recited in claim 17, wherein the computing/storage device comprises at least one of:

random access memory (RAM), a direct access storage device (DASD), an array of DASDs, and a redundant array of independent disks (RAID), and wherein the amount of workload to move to the computing/storage device is determined again after each time period.