COMPACTION METHOD AND DEVICE FOR SORTED STRINGS TABLE FILES

    公开(公告)号:US20240377948A1

    公开(公告)日:2024-11-14

    申请号:US18424321

    申请日:2024-01-26

    Abstract: Provided are a compaction method and device for Sorted String Table (SST) files stored in zones of a Zoned Namespace Solid State Drive. The method includes: determining compaction priorities of a first plurality of SST files in a first level of a LSM-Tree based on attribute information of a first plurality of zones corresponding to the first plurality of SST files and a second plurality of SST files in a second level of the LSM-Tree, wherein the second level is adjacent and higher to the first level, a key range of the first plurality of SST files overlaps key ranges of SST files in the second level, and a key range of the second plurality of SST files overlaps key ranges of the first plurality of SST files. The method includes performing a compaction operation on an SST file having a highest compaction priority among the first plurality of SST files.

    METHOD FOR FAILURE WARNING OF STORAGE DEVICE AND STORAGE DEVICE

    公开(公告)号:US20250068984A1

    公开(公告)日:2025-02-27

    申请号:US18584140

    申请日:2024-02-22

    Abstract: A method for operating a storage device and the storage device are provided. The method includes obtaining an initial failure warning model comprising a plurality of decision trees, the obtaining the initial failure warning model including being trained with a random forest algorithm based on historical failure related data, the historical failure related data comprising historical multiple operational attributes data of the storage device and failure logs of the storage device, determining high frequency decision nodes in the plurality of decision trees, the high frequency decision nodes being similar single-nodes with at least a first number in the plurality of decision trees, the similar single-nodes being single-nodes having a same monitoring attribute, a same attribute determination symbol, and a difference between attribute thresholds within a first range, and constructing the failure warning model of a new decision tree comprising the high frequency decision nodes.

    FAILURE PREDICTION APPARATUS AND METHOD FOR STORAGE DEVICES

    公开(公告)号:US20240160511A1

    公开(公告)日:2024-05-16

    申请号:US18451460

    申请日:2023-08-17

    CPC classification number: G06F11/0751 G06F11/0727

    Abstract: A failure prediction apparatus and method for storage devices are provided, the method including: obtaining attribute information of a plurality of attributes for a plurality of storage devices during operation of a storage apparatus; obtaining global attribute information for each of the plurality of storage devices based on the attribute information of the plurality of attributes obtained within a first time window before the current time; and predicting failures for the plurality of storage devices using a trained machine-learning model based on attribute information of the plurality of attributes of each of the plurality of storage devices obtained within a second time window before the current time and the global attribute information of each of the plurality of storage devices.

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