Invention Grant
- Patent Title: Methods for provisioning workloads in a storage system using machine learning and devices thereof
-
Application No.: US14317963Application Date: 2014-06-27
-
Publication No.: US09864749B2Publication Date: 2018-01-09
- Inventor: Jayanta Basak , Kushal Wadhwani
- Applicant: NetApp, Inc.
- Applicant Address: US CA Sunnyvale
- Assignee: NETAPP, INC.
- Current Assignee: NETAPP, INC.
- Current Assignee Address: US CA Sunnyvale
- Agency: Klein, O'Neill & Singh, LLP
- Main IPC: G06F17/30
- IPC: G06F17/30

Abstract:
A method, non-transitory computer readable medium, and provisioning advisor device that obtains an intensity and characteristics for each of a plurality of training workloads from storage device volumes. For each of the training workloads, at least first and second training workload parameters are generated, based on the training workload intensity, and an associated training workload signature is generated, based on the training workload characteristics. The first and second training workload parameters and associated training workload signatures are stored in a mapping table. A signature and an intensity for a query workload are obtained. First and second query workload parameters are determined based on a correlation of the query workload signature with the training workload signatures of the mapping table. An estimated latency for the query workload is determined, based on the first and second query workload parameters and the query workload intensity, and the estimated query workload latency is output.
Public/Granted literature
- US20150379420A1 METHODS FOR PROVISIONING WORKLOADS IN A STORAGE SYSTEM USING MACHINE LEARNING AND DEVICES THEREOF Public/Granted day:2015-12-31
Information query