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公开(公告)号:US20200210270A1
公开(公告)日:2020-07-02
申请号:US16816597
申请日:2020-03-12
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
IPC: G06F11/07
Abstract: A memory evaluation method and apparatus are provided. The method includes: determining a health degree evaluation model indicating a relationship in which a health degree of a memory changes with at least one health degree influencing factor of the memory; obtaining at least one running parameter value corresponding to each of the at least one health degree influencing factor; separately matching the at least one running parameter value corresponding to each health degree influencing factor to the health degree evaluation model, to obtain the health degree of the memory; and outputting health degree indication information which indicate whether the memory needs to be replaced. Therefore, the memory is not faulty and the health degree of the memory is a relatively low, a user is prompted to replace the memory.
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公开(公告)号:US20220269553A1
公开(公告)日:2022-08-25
申请号:US17741765
申请日:2022-05-11
Applicant: Huawei Technologies Co., Ltd.
IPC: G06F11/07
Abstract: A memory evaluation method includes determining a health degree evaluation model indicating a relationship in which a health degree of a memory changes with at least one health degree influencing factor of the memory; obtaining at least one running parameter value corresponding to each of the at least one health degree influencing factor; separately matching the at least one running parameter value corresponding to each health degree influencing factor to the health degree evaluation model, to obtain the health degree of the memory; and outputting health degree indication information indicating whether the memory needs to be replaced.
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公开(公告)号:US11868201B2
公开(公告)日:2024-01-09
申请号:US17741765
申请日:2022-05-11
Applicant: Huawei Technologies Co., Ltd.
CPC classification number: G06F11/0772 , G06F11/073 , G06F11/076
Abstract: A memory evaluation method includes determining a health degree evaluation model indicating a relationship in which a health degree of a memory changes with at least one health degree influencing factor of the memory; obtaining at least one running parameter value corresponding to each of the at least one health degree influencing factor; separately matching the at least one running parameter value corresponding to each health degree influencing factor to the health degree evaluation model, to obtain the health degree of the memory; and outputting health degree indication information indicating whether the memory needs to be replaced.
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公开(公告)号:US11354183B2
公开(公告)日:2022-06-07
申请号:US16816597
申请日:2020-03-12
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Abstract: A memory evaluation method and apparatus are provided. The method includes: determining a health degree evaluation model indicating a relationship in which a health degree of a memory changes with at least one health degree influencing factor of the memory; obtaining at least one running parameter value corresponding to each of the at least one health degree influencing factor; separately matching the at least one running parameter value corresponding to each health degree influencing factor to the health degree evaluation model, to obtain the health degree of the memory; and outputting health degree indication information which indicate whether the memory needs to be replaced. Therefore, the memory is not faulty and the health degree of the memory is a relatively low, a user is prompted to replace the memory.
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公开(公告)号:US20190042161A1
公开(公告)日:2019-02-07
申请号:US16155221
申请日:2018-10-09
Applicant: Huawei Technologies Co., Ltd.
Abstract: A hard disk operation method and a hard disk manager, where in the method, the hard disk manager generates an instruction, encapsulates the instruction into a Management Component Transport Protocol (MCTP) packet, and sends the MCTP packet to a hard disk controller. The hard disk controller forwards the instruction to a hard disk. The hard disk executes an action according to the instruction. In this way, the hard disk manager may operate the hard disk based on the MCTP.
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