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公开(公告)号：US20230035666A1
公开(公告)日：2023-02-02
申请号：US17391463
申请日：2021-08-02
Applicant: Seagate Technology LLC
Inventor： Anatolii Bilenko , Yuriy V. Umanets , Maksym Medvied
Abstract: A method of preparing an input vector for a neural network includes capturing a plurality of information about a storage system, including workload types, a processing graph, and read/write histograms, and creating a correlation matrix from processing times of different levels of processes in a workload of the storage system. The input vector is prepared with a workload vector representing the workload types, a behavior matrix representing the processing graph, a read/write histogram shape matrix representing the read/write histograms, and the correlation matrix.
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