公开(公告)号：US12235795B2

公开(公告)日：2025-02-25

申请号：US17816276

申请日：2022-07-29

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Sagar Venkappa Nyamagouda ,  Smitha Jayaram ,  Hiro Rameshlal Lalwani ,  Rachit Gupta ,  Sherine Jacob ,  Anand Andaneppa Ganjihal

IPC: G06F16/13 ,  G06F11/34

Abstract: In some examples, a system receives workload information of a workload collection, and applies a machine learning model on the workload information, the machine learning model trained using training information including features of different types of workloads. The system produces, by the machine learning model, an identification of a first file system from among different types of file systems, the machine learning model producing an output value corresponding to the first file system that is a candidate for use in storing files of the workload collection.

公开(公告)号：US20240037067A1

公开(公告)日：2024-02-01

申请号：US17816276

申请日：2022-07-29

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Sagar Venkappa Nyamagouda ,  Smitha Jayaram ,  Hiro Rameshlal Lalwani ,  Rachit Gupta ,  Sherine Jacob ,  Anand Andaneppa Ganjihal

IPC: G06F16/13 ,  G06F11/34

CPC classification number: G06F16/13 ,  G06F11/3414

Abstract: In some examples, a system receives workload information of a workload collection, and applies a machine learning model on the workload information, the machine learning model trained using training information including features of different types of workloads. The system produces, by the machine learning model, an identification of a first file system from among different types of file systems, the machine learning model producing an output value corresponding to the first file system that is a candidate for use in storing files of the workload collection.