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公开(公告)号:US11544216B2
公开(公告)日:2023-01-03
申请号:US16394687
申请日:2019-04-25
摘要: Example tiered storage systems, storage devices, and methods provide intelligent data access across tiered storage systems. An example system can comprise one or more computing devices, a file system, an object storage system comprising an object storage, and a data tiering application. The data tiering application is executable by one or more computing devices to perform operations comprising determining, using machine learning logic, a cluster of associated files stored in the file system; and archiving the cluster of associated files from the file system to the object storage coupled for electronic communication to the file system via a computer network.
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公开(公告)号:US11676066B2
公开(公告)日:2023-06-13
申请号:US16746381
申请日:2020-01-17
发明人: Sanhita Sarkar
CPC分类号: G06N20/00 , G06F3/067 , G06F3/0607 , G06F3/0655 , G06F3/0679 , G06F9/3877 , G06F16/907 , G06N5/04 , G06N5/046
摘要: Example artificial intelligence systems and methods provide parallel storage of data to primary storage and notification to a model server supported by the primary storage. A primary storage system receives operations on a training data set from a model trainer and sends a model instance of a computational model to a model server. When a new data element is received by a data ingester, the model server is initiated to evaluate the new data element using the model instance while the primary storage system stores the new data element in parallel.
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公开(公告)号:US10360193B2
公开(公告)日:2019-07-23
申请号:US15468245
申请日:2017-03-24
摘要: A system and method for archiving and analyzing data are disclosed. The system receives event data associated with a process; responsive to receiving the event data, determines process data associated with the process; generates process metadata from the event data and the process data; and stores the event data, the process data, and the process metadata in a data repository organized by the process metadata. Since the process data is determined early on in the data pipeline, the system can significantly reduce the amount of computation required for generating data analytics. The system is also capable of providing analytic results computed against a massive amount of archived data in real-time or near real-time as user requests are initiated. Efficiency of process mining and process optimization is also improved due to enhanced information stored for archived processes.
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公开(公告)号:US20210224684A1
公开(公告)日:2021-07-22
申请号:US16746381
申请日:2020-01-17
发明人: Sanhita Sarkar
IPC分类号: G06N20/00 , G06F9/38 , G06F16/907 , G06F3/06
摘要: Example artificial intelligence systems and methods provide parallel storage of data to primary storage and notification to a model server supported by the primary storage. A primary storage system receives operations on a training data set from a model trainer and sends a model instance of a computational model to a model server. When a new data element is received by a data ingester, the model server is initiated to evaluate the new data element using the model instance while the primary storage system stores the new data element in parallel.
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公开(公告)号:US20180276256A1
公开(公告)日:2018-09-27
申请号:US15468245
申请日:2017-03-24
CPC分类号: G06F16/219 , G06F16/254 , G06F16/285 , G06F2216/03 , G06N20/00
摘要: A system and method for archiving and analyzing data are disclosed. The system receives event data associated with a process; responsive to receiving the event data, determines process data associated with the process; generates process metadata from the event data and the process data; and stores the event data, the process data, and the process metadata in a data repository organized by the process metadata. Since the process data is determined early on in the data pipeline, the system can significantly reduce the amount of computation required for generating data analytics. The system is also capable of providing analytic results computed against a massive amount of archived data in real-time or near real-time as user requests are initiated. Efficiency of process mining and process optimization is also improved due to enhanced information stored for archived processes.
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公开(公告)号:US20200341943A1
公开(公告)日:2020-10-29
申请号:US16394687
申请日:2019-04-25
摘要: Example tiered storage systems, storage devices, and methods provide intelligent data access across tiered storage systems. An example system can comprise one or more computing devices, a file system, an object storage system comprising an object storage, and a data tiering application. The data tiering application is executable by one or more computing devices to perform operations comprising determining, using machine learning logic, a cluster of associated files stored in the file system; and archiving the cluster of associated files from the file system to the object storage coupled for electronic communication to the file system via a computer network.
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