Hewlett Packard Enterprise Development LP

Anand Andaneppa Ganjihal

Sandya Srivilliputtur Mannarswamy

Anoop Kumar Raveendran

Santigopal Mondal

Sagar Venkappa Nyamagouda

Ankit Gupta

Rachit Gupta

Smitha Jayaram

Sherine Jacob

Hiro Rameshlal Lalwani

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.

File system provisioning for workload

Aspects for remote analysis of file system metadata are described. In an example, a computer-readable file from a client system is received. The computer-readable file comprises file system metadata of a file system, and corresponding source location of the file system metadata on a volume of the client system. Thereafter, a target location on a target volume is identified, wherein the target location corresponds to the source location on the volume of the client system. In an example, the file system metadata is replicated onto the target location based on the computer-readable file, for analysis.

File system metadata

Storage space may be allocated from a non-reserved zone of a file system when the file system is not undergoing an online file system check. When the file system is undergoing an online file system check, storage space is allocated from a soft-reserved zone.

Online file system check

Dynamic updating of metadata associated with a file system is described herein. In accordance with an example, the updating includes creating a shadow file system metadata (FSM) index map in a shadow data block. The shadow data block is associated with a metadata storage of the file system and the metadata storage stores metadata files associated with the file system. The shadow FSM index map is associated with the metadata storage through an index map of the metadata storage, the index map being indicative of the metadata files in the metadata storage. The shadow FSM index map is updated to dynamically update the metadata associated with the file system, in the metadata storage.

Growing community of inventors

Bengaluru, India

Anand Andaneppa Ganjihal