US 12,235,795 B2
File system provisioning for workload
Sagar Venkappa Nyamagouda, Karnataka (IN); Smitha Jayaram, Karnataka (IN); Hiro Rameshlal Lalwani, Karnataka (IN); Rachit Gupta, Karnataka (IN); Sherine Jacob, Karnataka (IN); and Anand Andaneppa Ganjihal, Karnataka (IN)
Assigned to Hewlett Packard Enterprise Development LP, Spring, TX (US)
Filed by HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP, Houston, TX (US)
Filed on Jul. 29, 2022, as Appl. No. 17/816,276.
Prior Publication US 2024/0037067 A1, Feb. 1, 2024
Int. Cl. G06F 16/13 (2019.01); G06F 11/34 (2006.01)
CPC G06F 16/13 (2019.01) [G06F 11/3414 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A non-transitory machine-readable storage medium comprising instructions that upon execution cause a system to:
receive workload information of a workload collection;
apply a machine learning model on the workload information, the machine learning model trained using training information including features of different types of workloads;
generate, by the machine learning model based on the workload information, a first file system label selected from among a plurality of file system labels representing different types of file systems;
select, from among the different types of file systems, a first file system represented by the first file system label produced by the machine learning model from the workload information;
provision the first file system in a computing system; and
establish a connection between the provisioned first file system in the computing system and an entity that provided the workload collection to allow reading and writing of files in the provisioned first file system by the entity.