Data storage strategy determination

    公开(公告)号:US11010255B2

    公开(公告)日:2021-05-18

    申请号:US16574179

    申请日:2019-09-18

    Abstract: Techniques for data storage strategy determination are described herein. An aspect includes determining a plurality of file classifications for files that are stored in a data storage system based on performance history data of a disaster recovery (DR) system of the data storage system. Another aspect includes determining classification records and performance records for the DR system based on the plurality of file classifications. Another aspect includes determining an information loss based on the performance records. Another aspect includes determining a total cost savings based on the classification records. Another aspect includes determining a recommended recovery time objective (RTO)/recovery point objective (RPO) strategy based on the information loss and the total cost savings. Another aspect includes implementing the recommended RTO/RPO strategy in the DR system.

    TEXT MINING USING A RELATIVELY LOWER DIMENSION REPRESENTATION OF DOCUMENTS

    公开(公告)号:US20240070183A1

    公开(公告)日:2024-02-29

    申请号:US17895730

    申请日:2022-08-25

    CPC classification number: G06F16/355 G06F16/3331 G06F2216/03

    Abstract: A computer-implemented method according to one embodiment includes generating a first matrix based on words extracted from documents, and generating a second matrix based on deduplication chunks. The deduplication chunks include words of the documents. Word clustering is performed based on an analysis performed on the second matrix. Each cluster of the words represents a feature of at least one of the documents. The method further includes generating a third matrix based on the first matrix and the clusters, and performing text mining using the third matrix. A computer program product according to another embodiment includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method.

    DATA STORAGE STRATEGY DETERMINATION

    公开(公告)号:US20210081279A1

    公开(公告)日:2021-03-18

    申请号:US16574179

    申请日:2019-09-18

    Abstract: Techniques for data storage strategy determination are described herein. An aspect includes determining a plurality of file classifications for files that are stored in a data storage system based on performance history data of a disaster recovery (DR) system of the data storage system. Another aspect includes determining classification records and performance records for the DR system based on the plurality of file classifications. Another aspect includes determining an information loss based on the performance records. Another aspect includes determining a total cost savings based on the classification records. Another aspect includes determining a recommended recovery time objective (RTO)/recovery point objective (RPO) strategy based on the information loss and the total cost savings. Another aspect includes implementing the recommended RTO/RPO strategy in the DR system.

    Predicting operational status of system

    公开(公告)号:US11449772B2

    公开(公告)日:2022-09-20

    申请号:US16583868

    申请日:2019-09-26

    Abstract: In an approach, a processor obtains a first set of training samples, one of the training samples including values of a plurality of performance indicators of a target system observed at a historical point in time. A processor determines whether the first set of training samples are qualified for training a prediction model, the prediction model predicting an operational status of the target system at a target point in time based on values of the plurality of performance indicators observed at the target point in time. A processor, in response to determining that the first set of training samples are qualified for training the prediction model, trains, the prediction model based on the first set of training samples.

    PREDICTING OPERATIONAL STATUS OF SYSTEM

    公开(公告)号:US20210097407A1

    公开(公告)日:2021-04-01

    申请号:US16583868

    申请日:2019-09-26

    Abstract: In an approach, a processor obtains a first set of training samples, one of the training samples including values of a plurality of performance indicators of a target system observed at a historical point in time. A processor determines whether the first set of training samples are qualified for training a prediction model, the prediction model predicting an operational status of the target system at a target point in time based on values of the plurality of performance indicators observed at the target point in time. A processor, in response to determining that the first set of training samples are qualified for training the prediction model, trains, the prediction model based on the first set of training samples.

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