PROGRAMMATICALLY MAPPING WORKLOADS TO NETWORKED OBJECT STORAGE

Patent №

US 11,831,714

Granted

2023-11-28

Filed 2022

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

2

kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17655018

Disclosed are techniques for programmatically mapping workloads for storage in different classes of a networked computer data storage environment, using a set of rules or data storage hints and properties of the workloads themselves. With the set of data storage hints, metadata sets are assigned to files of the incoming workloads to the networked computer data storage environment based on the properties of the workloads. Then, a target storage class is determined for each file of the workload from the plurality of storage classes present in the networked computer data storage environment. The workload files are then mapped to a logical bucket that is associated with the plurality of storage classes through a shared namespace, with the assigned metadata set for a file cueing the filesystem modules as to which storage class within the logical bucket to direct the various files of the workload to.

AI classification

Knowledge representation0.97
AI hardware0.84
Natural language0.00
Vision0.00
Machine learning0.00
Planning0.00
Speech0.00
Evolutionary computation0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 592780119

Assignors

NARAYANAM, KRISHNASURI, AYYAGARI, PHANI KUMAR V. U., RAHUL, RAHUL, ROY, SUBHOJIT, EDA, SASIKANTH

On an employer assignment, the assignors are typically the inventors.

From the same owner

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