IP Library › Granted Patent US 12,373,340
Granted Patent B2
US 12,373,340 · App. 18/478,479 · Granted Jul 29, 2025

Intelligent subsegment formation in a heterogeneous storage system

Inventors: Sankara Vaideeswaran (San Jose, CA); Jeffrey Tofano (Scottsdale, AZ); Ying Gao (San Jose, CA)
Assignee: PURE STORAGE, INC.
G06F12/0246G06F2212/7201G06F2212/7202G06F2212/7205
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Quick Facts
Patent No.
US 12,373,340
App. No.
18/478,479
Granted
Jul 29, 2025
Kind
B2
Abstract

A data segment to be written to a set of storage devices is identified, wherein at least one storage device of the set of storage devices has a first allocation unit size that is larger than a second allocation unit size of other storage devices of the set of storage devices. A first subsegment having a first subsegment height corresponding to the second allocation unit size is mapped across the set of storage devices. A second subsegment having a second subsegment height that is a first difference between the first allocation unit size and the second allocation unit size is mapped across a first subset of the set of storage devices. A third subsegment having a third subsegment height that is a second difference between the second allocation unit size and second subsegment height is mapped across a second subset of the set of storage devices.

Claims (34)

1. A storage system comprising:

a plurality of storage devices; and

a storage controller comprising a processing device operatively coupled to the plurality of storage devices, the processing device configured to:

identify a data segment to be written to a set of storage devices of the plurality of storage devices, wherein at least one storage device of the set of storage devices has a first allocation unit size that is larger than a second allocation unit size of other storage devices of the set of storage devices;

map a first subsegment having a first subsegment height corresponding to the second allocation unit size across the set of storage devices;

map a second subsegment having a second subsegment height that is a first difference between the first allocation unit size and the second allocation unit size across a first subset of the set of storage devices; and

map a third subsegment having a third subsegment height that is a second difference between the second allocation unit size and the second subsegment height across a second subset of the set of storage devices.

2. The storage system of claim 1 , wherein the plurality of storage devices comprises a heterogeneous mix of storage devices.

3. The storage system of claim 1 , wherein a number of storage devices of the second subset of the set of storage devices is selected to optimize space efficiency of data stored at the storage system.

4. The storage system of claim 1 , wherein a number of storage devices of the second subset of the set of storage devices is selected to optimize performance of the storage system.

5. The storage system of claim 1 , wherein a number of storage devices of the second subset of the set of storage devices is selected using a machine learning model that analyzes characteristics of the set of storage devices.

6. The storage system of claim 1 , wherein a number of storage devices of the second subset of the set of storage devices is selected based on corresponding types of storage devices of the set of storage devices.

7. The storage system of claim 1 , wherein the plurality of storage devices comprises solid-state storage devices.

8. A method comprising:

identifying a data segment to be written to a set of storage, wherein at least one storage device of the set of storage devices has a first allocation unit size that is larger than a second allocation unit size of other storage devices of the set of storage devices;

mapping a first subsegment having a first subsegment height corresponding to the second allocation unit size across the set of storage devices;

mapping a second subsegment having a second subsegment height that is a first difference between the first allocation unit size and the second allocation unit size across a first subset of the set of storage devices; and

mapping, by a processing device, a third subsegment having a third subsegment height that is a second difference between the second allocation unit size and the second subsegment height across a second subset of the set of storage devices.

9. The method of claim 8 , wherein the plurality of storage devices comprises a heterogeneous mix of storage devices.

10. The method of claim 8 , wherein a number of storage devices of the second subset of the set of storage devices is selected to optimize space efficiency of data stored at the storage system.

11. The method of claim 8 , wherein a number of storage devices of the second subset of the set of storage devices is selected to optimize performance of the storage system.

12. The method of claim 8 , wherein a number of storage devices of the second subset of the set of storage devices is selected using a machine learning model that analyzes characteristics of the set of storage devices.

13. The method of claim 8 , wherein a number of storage devices of the second subset of the set of storage devices is selected based on corresponding types of storage devices of the set of storage devices.

14. The method of claim 8 , wherein the plurality of storage devices comprises solid-state storage devices.

15. A non-transitory computer readable storage medium storing instructions which, when executed, cause a processing device to:

identify a data segment to be written to a set of storage devices, wherein at least one storage device of the set of storage devices has a first allocation unit size that is larger than a second allocation unit size of other storage devices of the set of storage devices;

map a first subsegment having a first subsegment height corresponding to the second allocation unit size across the set of storage devices;

map a second subsegment having a second subsegment height that is a first difference between the first allocation unit size and the second allocation unit size across a first subset of the set of storage devices; and

map a third subsegment having a third subsegment height that is a second difference between the second allocation unit size and the second subsegment height across a second subset of the set of storage devices.

16. The non-transitory computer readable storage medium of claim 15 , wherein the plurality of storage devices comprises a heterogeneous mix of storage devices.

17. The non-transitory computer readable storage medium of claim 15 , wherein a number of storage devices of the second subset of the set of storage devices is selected to optimize space efficiency of data stored at the storage system.

18. The non-transitory computer readable storage medium of claim 15 , wherein a number of storage devices of the second subset of the set of storage devices is selected to optimize performance of the storage system.

19. The non-transitory computer readable storage medium of claim 15 , wherein a number of storage devices of the second subset of the set of storage devices is selected using a machine learning model that analyzes characteristics of the set of storage devices.

20. The non-transitory computer readable storage medium of claim 15 , wherein a number of storage devices of the second subset of the set of storage devices is selected based on corresponding types of storage devices of the set of storage devices.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 8, 2023
From: VAIDEESWARAN, SANKARA; TOFANO, JEFFREY; GAO, YING
To: PURE STORAGE, INC.
Reel/Frame 065809/0320 →
Continuity (2)
Continuation In Part 16374653 · Apr 3, 2019
Related Publication 20240020230A1 · Jan 18, 2024
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