US 2025/0378352 A1Published application

System and method for managing data in a distributed system based on customized user selections

AssigneeDell Products L.P.

InventorsAVIV ZEILIG, LEV MAKLER, AMIR ABU GANIM, ANAT PARUSH TZUR, OR HERMAN SAFFAR, ELIYAHU ROSENES

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Abstract

Methods and systems for managing data in distributed systems are disclosed. The data may be managed by selectively distributing data based on relevancy of the data for various purposes. The relevancy of different portions of data may be defined by a user. When new portions of data are obtained, the relevancy ascribed to the new portions of data may be used to determine whether to distribute or not distribute the new portions of data. By limiting which portions of data are distributed, computing resources that may otherwise be expended for distributing less relevant data may be reduced.

Claims20

Dependent claims

A method for managing data in a distributed system, the method comprising:

obtaining, from a data originator of the distributed system, a portion of the data;
tagging, using a template and a pre-trained model, the portion of the data to obtain a tagged portion of the data;
making, using the tagged portion of the data and a set of rules keyed to tags that are applicable to the data within the distributed system, a determination regarding whether the portion of the data is to be provided to a remote entity of the distributed system that is remote to the data originator;
in a first instance of the determination where the portion of the data is not to be provided to the remote entity;
not providing the portion of the data to the remote entity, and
using at least one tag from the tagged portion of the data to refine the pre-trained model to reduce a likelihood of the pre-trained model tagging other portions of the data with any tags that are not deemed to be relevant by the set of the rules;
and
in a second instance of the determination where the portion of the data is to be provided to the remote entity:
providing the portion of the data to the remote entity to provision computer implemented services using the data.

6 more elements

A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor, cause the processor to perform operations for managing data in a distributed system, the operations comprising:

obtaining, from a data originator of the distributed system, a portion of the data;
tagging, using a template and a pre-trained model, the portion of the data to obtain a tagged portion of the data;
making, using the tagged portion of the data and a set of rules keyed to tags that are applicable to the data within the distributed system, a determination regarding whether the portion of the data is to be provided to a remote entity of the distributed system that is remote to the data originator;
in a first instance of the determination where the portion of the data is not to be provided to the remote entity;
not providing the portion of the data to the remote entity, and
using at least one tag from the tagged portion of the data to refine the pre-trained model to reduce a likelihood of the pre-trained model tagging other portions of the data with any tags that are not deemed to be relevant by the set of the rules;
and
in a second instance of the determination where the portion of the data is to be provided to the remote entity:
providing the portion of the data to the remote entity to provision computer implemented services using the data.

6 more elements

A data processing system, comprising:

a processor;
and
a memory coupled to the processor to store instructions, which when executed by the processor, cause the processor to perform operations for managing data in a distributed system, the operations comprising:
obtaining, from a data originator of the distributed system, a portion of the data;
tagging, using a template and a pre-trained model, the portion of the data to obtain a tagged portion of the data;
making, using the tagged portion of the data and a set of rules keyed to tags that are applicable to the data within the distributed system, a determination regarding whether the portion of the data is to be provided to a remote entity of the distributed system that is remote to the data originator;
in a first instance of the determination where the portion of the data is not to be provided to the remote entity;
not providing the portion of the data to the remote entity, and
using at least one tag from the tagged portion of the data to refine the pre-trained model to reduce a likelihood of the pre-trained model tagging other portions of the data with any tags that are not deemed to be relevant by the set of the rules;
and
in a second instance of the determination where the portion of the data is to be provided to the remote entity:
providing the portion of the data to the remote entity to provision computer implemented services using the data.

9 more elements

Dependencies are inferred from the claim text.