Invention Grant
- Patent Title: Determining storage system configuration recommendations based on vertical sectors and size parameters using machine learning techniques
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Application No.: US16929271Application Date: 2020-07-15
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Publication No.: US11886720B2Publication Date: 2024-01-30
- Inventor: Shou-Huey Jiang , Bina K. Thakkar , Deepak Gowda
- Applicant: EMC IP Holding Company LLC
- Applicant Address: US MA Hopkinton
- Assignee: EMC IP Holding Company LLC
- Current Assignee: EMC IP Holding Company LLC
- Current Assignee Address: US MA Hopkinton
- Agency: Ryan, Mason & Lewis, LLP
- Main IPC: G06F3/06
- IPC: G06F3/06 ; G06N5/04 ; G06N20/00

Abstract:
Methods, apparatus, and processor-readable storage media for determining storage system configuration recommendations based on vertical sectors and size parameters using machine learning techniques are provided herein. An example computer-implemented method includes obtaining data pertaining to multiple storage systems; segmenting, into one or more segments, the multiple storage systems based on one or more vertical sectors and one or more size parameters of an enterprise associated with each storage system; identifying, within each of the segments, each storage system running one or more vertical sector-specific applications; clustering, within each of the segments, the storage systems running one or more vertical sector-specific applications based on configuration information using at least one machine learning technique; generating one or more storage system configuration templates based on the clustering; and performing one or more automated actions based on the one or more generated storage system configuration templates.
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