SOLID-STATE DISK (SSD) MANAGEMENT

• US 20160034208A1
• Filed: 10/16/2015
• Published: 02/04/2016
• Est. Priority Date: 11/02/2010
• Status: Active Grant

• Current Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: CEPULIS, Darren J.
• Granted Patent: US 9,870,159 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 12/0246 in block erasable memory, e.g. flash memory
• CPC Class Codes: G06F 2206/1012 Load balancing
• CPC Class Codes: G06F 2212/7211 Wear leveling
• CPC Class Codes: G06F 3/0604 Improving or facilitating administration, e.g. storage management
• CPC Class Codes: G06F 3/0616 in relation to life time, e.g. increasing Mean Time Between Failures [MTBF]
• CPC Class Codes: G06F 3/0635 by changing the path, e.g. traffic rerouting, path reconfiguration
• CPC Class Codes: G06F 3/0644 Management of space entities, e.g. partitions, extents, pools
• CPC Class Codes: G06F 3/0653 Monitoring storage devices or systems
• CPC Class Codes: G06F 3/0679 Non-volatile semiconductor memory device, e.g. flash memory, one time programmable memory [OTP]
• CPC Class Codes: G06F 3/0688 Non-volatile semiconductor memory arrays
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G11C 16/3495 Circuits or methods to detect or delay wearout of nonvolatile EPROM or EEPROM memory devices, e.g. by counting numbers of erase or reprogram cycles, by using multiple memory areas serially or cyclically

Abstract

SSD wear-level data (320) is generated on managed nodes (202) having SSDs (206). The wear-level data is collected by a management node (204).

Claims

1-15. -15. (canceled)

16. A method comprising:

determining solid-state disk (SSD) wear-level data for SSDs on managed nodes, wherein the wear-level data includes frequency of writes;

determining performance of the SSDs based on the wear-level data;

determining a recommendation to replace at least one of the SSDs with a hard disk or a replacement SSD based on the performance, wherein if the performance is determined to be less than a threshold, the recommendation is to replace the at least one SSD with the hard drive;

otherwise the recommendation is to replace the at least one SSD with the replacement SSD; and

balancing, by a management node, loads among the managed nodes based on the wear-level data.

17. The method of claim 16, comprising:

storing the SSD wear-level data in a database of SSD wear data, wherein the stored SSD wear-level data comprises an identifier for each managed node and the wear-level data for each managed node, and the wear-level data is associated with the identifier of the corresponding managed node.

18. The method of claim 16, wherein balancing loads comprises:

determining workload redistributions among the SSDs so as to stagger times at which future performance of each SSD is estimated to fall below the threshold.

19. The method of claim 16, wherein determining SSD wear-level data comprises:

receiving, at one of the managed nodes, the wear-level data from each of the other managed nodes, wherein the wear-level data of each of the SSDs is measured at the managed node including the SSD.

20. The method of claim 16, wherein determining SSD wear-level data comprises:

receiving, at the management node, the wear-level data for each of the SSDs, wherein the wear-level data of each of the SSDs is measured at the managed node including the SSD.

21. A management node comprising:

a processor to;

receive SSD wear-level data for SSDs on nodes;

compute wear-rate for each SSD from the SSD wear-level data for the SSD;

estimate when performance degradation of each SSD will occur; and

facilitate redistribution of loads among the nodes based on the estimations of when the performance degradations will occur.

22. The management node of claim 21, wherein, for each SSD, the performance degradation is based on when performance of the SSD falls below a threshold.

23. The management node of claim 22, wherein the performance of each SSD is based on frequency of writes to the SSD.

24. The management node of claim 22, wherein a life span of each SSD is determined as a total number of writes, and the performance is based on a current number of writes and the total number of writes.

25. The management node of claim 21, wherein to facilitate redistribution of loads, the management node controls rates at which the SSDs are written to.

26. The management node of claim 25, wherein to facilitate redistribution of loads, the management node balances the rates at which the SSDs are written to.

27. The management node of claim 25, wherein to facilitate redistribution of loads, the management node determines a redistribution of the loads to extend remaining lifetime of the SSDs and controls the rates at which the SSDs are written to based on the determined redistribution.

28. A computer system comprising:

a processor; and

a non-transitory computer readable medium storing machine readable instructions executable by the processor to;

collect SSD wear-level data from managed nodes having SSDs;

determine a frequency of writes to an SSD of the SSDs based on the wear-level data for the SSD; and

generate a recommendation to replace the SSD with a hard disk or a replacement SSD based on the frequency of writes.

29. The computer system of claim 28, wherein if performance, determined based on frequency of writes, is less than a maximal value, the recommendation is to replace the SSD with the hard disk;

otherwise the recommendation is to replace the SSD with the replacement SSD.

30. The computer system of claim 28, wherein the processor is to balance loads among the SSDs based on the wear-level data of the SSDs.