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公开(公告)号:US11550712B2
公开(公告)日:2023-01-10
申请号:US16899147
申请日:2020-06-11
Applicant: Google LLC
Inventor: Arif Merchant , Lluis Pamies-Juarez
Abstract: A predictive method for scheduling of the operations is described. The predictive method utilizes data generated from computing an expected lifetime of the individual files or objects within the container. The expected lifetime of individual files or objects can be generated based on machine learning techniques. Operations such as garbage collection are scheduled at an epoch where computational efficiencies are realized for performing the operation.
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公开(公告)号:US20230185457A1
公开(公告)日:2023-06-15
申请号:US17644085
申请日:2021-12-13
Applicant: Google LLC
Inventor: Francisco Maturana Sanguineti , Lluis Pamies-Juarez , Mustafa Uysal , Arif Abdulhusein Merchant
CPC classification number: G06F3/0616 , G06N5/04 , G06F3/0659 , G06F3/0673
Abstract: A method for optimizing data storage includes obtaining a data object for storage at memory hardware in communication with data processing hardware. The memory hardware includes a plurality of storage devices, each storage device of the plurality of storage devices including storage parameters different from each other storage device of the plurality of storage devices. The method also includes determining one or more data object parameters associated with the data object and predicting, using a model and the data object parameters and the storage parameters, an object temperature representative of a frequency of access for the data object and an object lifetime representative of an amount of time the data object is to be stored. The method further includes selecting, using the predicted object temperature and object lifetime, one of the storage devices, and storing the data object at the selected one of the storage devices.
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公开(公告)号:US20210390045A1
公开(公告)日:2021-12-16
申请号:US16899147
申请日:2020-06-11
Applicant: Google LLC
Inventor: Arif Merchant , Lluis Pamies-Juarez
Abstract: A predictive method for scheduling of the operations is described. The predictive method utilizes data generated from computing an expected lifetime of the individual files or objects within the container. The expected lifetime of individual files or objects can be generated based on machine learning techniques. Operations such as garbage collection are scheduled at an epoch where computational efficiencies are realized for performing the operation.
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