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公开(公告)号:US11972361B2
公开(公告)日:2024-04-30
申请号:US16817460
申请日:2020-03-12
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Somnath Saha , Jian Liang , Ramaraj Pandian
IPC: G06N5/04 , G06F16/2458 , G06N20/00
CPC classification number: G06N5/04 , G06F16/2474 , G06N20/00
Abstract: Provided is a method including receiving object IOs for a target device, grouping the object IOs using a first plurality of input parameters, associating a tracking parameter with the first plurality of input parameters and a performance parameter corresponding to the first plurality of input parameters, storing a first data entry including the tracking parameter, the first plurality of input parameters, and the performance parameter in a database, extracting a plurality of data entries from the database, the plurality of data entries including the first data entry, training a training model using one or more of the plurality of data entries, cross-validating the training model to determine a degree of error reduction of the training model, performing a model check to compare the training model to an inferencing model, and updating the inferencing model based on the model check.
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公开(公告)号:US20210232946A1
公开(公告)日:2021-07-29
申请号:US16817460
申请日:2020-03-12
Applicant: Samsung Electronics Co., Ltd.
Inventor: Somnath Saha , Jian Liang , Ramaraj Pandian
IPC: G06N5/04 , G06F16/2458 , G06N20/00
Abstract: Provided is a method including receiving object IOs for a target device, grouping the object IOs using a first plurality of input parameters, associating a tracking parameter with the first plurality of input parameters and a performance parameter corresponding to the first plurality of input parameters, storing a first data entry including the tracking parameter, the first plurality of input parameters, and the performance parameter in a database, extracting a plurality of data entries from the database, the plurality of data entries including the first data entry, training a training model using one or more of the plurality of data entries, cross-validating the training model to determine a degree of error reduction of the training model, performing a model check to compare the training model to an inferencing model, and updating the inferencing model based on the model check.
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公开(公告)号:US11243694B2
公开(公告)日:2022-02-08
申请号:US16815974
申请日:2020-03-11
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jian Liang , Ronald Lee , Benixon Arul Dhas , Ramaraj Pandian
IPC: G06F3/06
Abstract: Provided is a method of completing object IOs, the method including receiving a first set of object IOs for a target storage device, dispatching the first set of object IOs to a first buffer of a first zone, the first buffer being configured to function as a first log buffer, concatenating the first set of object IOs to form a first object group in the first buffer, logging the first object group to a log device, modifying a function of the first buffer from the first log buffer to a first flush buffer, and transferring the first object group to the target storage device.
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