Invention Grant
- Patent Title: Machine learning based assignment of service levels in a networked storage system
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Application No.: US16193347Application Date: 2018-11-16
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Publication No.: US11785084B2Publication Date: 2023-10-10
- Inventor: Jayanta Basak , Ameet Deulgaonkar , Siddhartha Nandi
- Applicant: NETAPP, INC.
- Applicant Address: US CA Sunnyvale
- Assignee: NETAPP, INC.
- Current Assignee: NETAPP, INC.
- Current Assignee Address: US CA San Jose
- Agency: LOZA & LOZA, LLP
- Agent Tejinder Singh
- Main IPC: H04L67/1097
- IPC: H04L67/1097 ; H04L41/12 ; H04L41/14 ; G06N20/00

Abstract:
Methods and systems for a networked storage system is provided. One method includes transforming by a processor, performance parameters associated with storage volumes of a storage system for representing each storage volume as a data point in a parametric space; generating by the processor, a plurality of bins in the parametric space using the transformed performance parameters; adjusting by the processor, bin boundaries for the plurality of bins for defining a plurality of service levels for the storage system based on the performance parameters; and using the defined plurality of service levels for operating the storage system.
Public/Granted literature
- US20190394273A1 MACHINE LEARNING BASED ASSIGNMENT OF SERVICE LEVELS IN A NETWORKED STORAGE SYSTEM Public/Granted day:2019-12-26
Information query
IPC分类: