公开(公告)号：US20210124510A1

公开(公告)日：2021-04-29

申请号：US16662185

申请日：2019-10-24

Applicant: EMC IP HOLDING COMPANY LLC

Inventor： Paulo Ferreira ,  Adriana Prado ,  Pablo Da Silva ,  Ron Arnan ,  Hagay Dagan ,  Adnan Sahin

IPC: G06F3/06 ,  G06N20/00 ,  G06N5/04

Abstract: Telemetry data gathered from active deployed SAN nodes is used to create a machine learning model that predicts storage system performance, e.g. in terms of response time. The telemetry data may be filtered to remove outlier values and less relevant information before creating the training dataset. Engineered features may be created that include types of data that are not present in the telemetry data. For example, data types from the telemetry data may be combined to create engineered features that are more relevant than the individual data types. The engineered features are included in the training dataset. The machine learning model may be used to test possible configurations for a planned SAN node based on expected workload and performance requirements. Outputted data may include satisfactory configurations for a planned storage system.

公开(公告)号：US11347414B2

公开(公告)日：2022-05-31

申请号：US16662185

申请日：2019-10-24

Applicant: EMC IP HOLDING COMPANY LLC

Inventor： Paulo Ferreira ,  Adriana Prado ,  Pablo Da Silva ,  Ron Arnan ,  Hagay Dagan ,  Adnan Sahin

IPC: G06F3/06 ,  G06N5/04 ,  G06N20/00

Abstract: Telemetry data gathered from active deployed SAN nodes is used to create a machine learning model that predicts storage system performance, e.g. in terms of response time. The telemetry data may be filtered to remove outlier values and less relevant information before creating the training dataset. Engineered features may be created that include types of data that are not present in the telemetry data. For example, data types from the telemetry data may be combined to create engineered features that are more relevant than the individual data types. The engineered features are included in the training dataset. The machine learning model may be used to test possible configurations for a planned SAN node based on expected workload and performance requirements. Outputted data may include satisfactory configurations for a planned storage system.