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公开(公告)号：US12248488B2
公开(公告)日：2025-03-11
申请号：US18351355
申请日：2023-07-12
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Ted Dunning , Suparna Bhattacharya , Glyn Bowden , Lin A. Nease , Janice M. Zdankus , Sonu Sudhakaran
IPC: G06F16/248 , G06F16/2455 , G06F16/25 , G06F16/28
Abstract: Systems and methods provide a system that gathers information about data as it progresses through data processing pipelines of data analysis projects. The data analytics system derives value indicators and implicit metadata from the data processing pipelines. For example, the data analytics system may derive value indicators and implicit metadata from data-related products themselves, semantic analysis of the code/processing steps used to process the data-related products, the structure of data processing pipelines, and human behavior related to production and usage of data-related products. Once a new data analysis project is initiated, the data analytics system gathers parameters and characteristics about the new data analysis project and references the value indicators and implicit metadata to recommend useful processing steps, datasets, and/or other data-related products for the new data analysis project.
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公开(公告)号：US12093316B2
公开(公告)日：2024-09-17
申请号：US16263390
申请日：2019-01-31
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
IPC: G06F16/90 , G06F9/455 , G06F16/188 , G06F16/27 , G06F16/901 , G06F16/908
CPC classification number: G06F16/9027 , G06F9/45558 , G06F16/192 , G06F16/273 , G06F16/908 , G06F2009/45595
Abstract: Example implementations relate to partial file system instances. In an example, a subset of objects of a source file system instance on a source system are replicated to a target system to form a partial file system instance on the target system comprised of the subset of objects. Each of the objects of the source file system instance is identified by a signature based on content of each of the objects and the objects exhibit a hierarchical relationship to a root object in the file system instance. An unmaterialized object is dynamically added to the partial file system instance by replicating the corresponding object from the source file system instance. The target system is asynchronously updated from the source file system instance based on a comparison of the partial file system instance to the source file system instance.
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公开(公告)号：US20240069787A1
公开(公告)日：2024-02-29
申请号：US17821513
申请日：2022-08-23
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Kalapriya Kannan , Chaitra Kallianpur , Bruce Rabe , Suparna Bhattacharya , Krishnaraju Thangaraju
IPC: G06F3/06
CPC classification number: G06F3/0655 , G06F3/0604 , G06F3/0679
Abstract: Examples described herein relate to preparing datasets in a storage device for machine learning (ML) applications. Examples include maintaining ML facet mappings between ML facets and dataset preparation tags, deriving ML facets of a dataset stored in the storage device, and generating filtered datasets from the datasets using the ML facets and ML facet mappings. The filtered dataset is associated with improved dataset quality compared to unfiltered dataset. The storage device transmits the filtered dataset to ML applications requesting the dataset. Some examples include recommending, by the storage device, ML facets to the ML application based on performance metrics.
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公开(公告)号：US11907241B2
公开(公告)日：2024-02-20
申请号：US17843757
申请日：2022-06-17
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Ted Dunning , Suparna Bhattacharya , Glyn Bowden , Lin A. Nease , Janice M. Zdankus , Sonu Sudhakaran
IPC: G06F16/248 , G06F16/2455 , G06F16/25 , G06F16/28
CPC classification number: G06F16/248 , G06F16/24556 , G06F16/254 , G06F16/288
Abstract: Systems and methods provide a system that gathers information about data as it progresses through data processing pipelines of data analysis projects. The data analytics system derives value indicators and implicit metadata from the data processing pipelines. For example, the data analytics system may derive value indicators and implicit metadata from data-related products themselves, semantic analysis of the code/processing steps used to process the data-related products, the structure of data processing pipelines, and human behavior related to production and usage of data-related products. Once a new data analysis project is initiated, the data analytics system gathers parameters and characteristics about the new data analysis project and references the value indicators and implicit metadata to recommend useful processing steps, datasets, and/or other data-related products for the new data analysis project.
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公开(公告)号：US20210342301A1
公开(公告)日：2021-11-04
申请号：US17249907
申请日：2021-03-18
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Venkataraman Kamalaksha , Suparna Bhattacharya , Ashutosh Kumar
IPC: G06F16/14 , G06F16/16 , G06F16/178 , G06F16/188
Abstract: Examples described herein relate to a computing system, a method and a non-transitory machine-readable medium for handling a request directed to a file in first filesystem having a filesystem instance being a content addressable storage objects. The computing system may also include a general-purpose second filesystem including its backing store within the filesystem instance of the first filesystem. Moreover, the computing system includes a first filesystem server to receive the request for an operation directed to the file in the first filesystem from an application. The first filesystem server may redirect the request to the second filesystem if the operation is a metadata operation; else redirect the request to the first filesystem.
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Patent Agency Ranking
公开(公告)号：US20200250232A1
公开(公告)日：2020-08-06
申请号：US16263390
申请日：2019-01-31
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
IPC: G06F16/901 , G06F16/908 , G06F16/27 , G06F16/188 , G06F9/455
Abstract: Example implementations relate to partial file system instances. In an example, a subset of objects of a source file system instance on a source system are replicated to a target system to form a partial file system instance on the target system comprised of the subset of objects. Each of the objects of the source file system instance is identified by a signature based on content of each of the objects and the objects exhibit a hierarchical relationship to a root object in the file system instance. An unmaterialized object is dynamically added to the partial file system instance by replicating the corresponding object from the source file system instance. The target system is asynchronously updated from the source file system instance based on a comparison of the partial file system instance to the source file system instance.
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公开(公告)号：US10664316B2
公开(公告)日：2020-05-26
申请号：US15473894
申请日：2017-03-30
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Muthukumar Murugan , Suparna Bhattacharya , Douglas L. Voigt , Ancy Sarah Tom
Abstract: Example implementations relate to performing computations using provenance data. An example implementation includes storing first lineage data of a first dataset and provenance data of an application operating on the first dataset in a storage system. A computing resource may determine whether second lineage data of a second dataset meets a similarity criterion with the first lineage data of the first dataset. A computation on the second dataset may be performed using the provenance data of the application, and an insight of the second dataset may be generated from the performed computation.
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公开(公告)号：US20180217883A1
公开(公告)日：2018-08-02
申请号：US15473894
申请日：2017-03-30
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Muthukumar Murugan , Suparna Bhattacharya , Douglas L. Voigt , Ancy Sarah Tom
Abstract: Example implementations relate to performing computations using provenance data. An example implementation includes storing first lineage data of a first dataset and provenance data of an application operating on the first dataset in a storage system. A computing resource may determine whether second lineage data of a second dataset meets a similarity criterion with the first lineage data of the first dataset. A computation on the second dataset may be performed using the provenance data of the application, and an insight of the second dataset may be generated from the performed computation.
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公开(公告)号：US20180018290A1
公开(公告)日：2018-01-18
申请号：US15543170
申请日：2015-09-23
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Boris Zuckerman , Douglas L. Voigt , Suparna Bhattacharya
CPC classification number: G06F13/16 , G06F3/061 , G06F3/0631 , G06F3/0638 , G06F3/0646 , G06F3/0679 , G06F3/0683 , G06F9/467 , G06F12/0804 , G06F12/126
Abstract: Example implementations relate to a storage memory direct access (SMDA) provider. The SMDA provider may pin a storage memory region to a memory address of a consumer machine, the storage memory region corresponding to a storage range of a storage device requested by the consumer machine. The SMDA provider may atomically commit data in the storage memory region accessed by the consumer machine via the memory address.
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公开(公告)号：US12277132B2
公开(公告)日：2025-04-15
申请号：US17530866
申请日：2021-11-19
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Kalapriya Kannan , Suparna Bhattacharya , Douglas L Voigt
Abstract: Examples include bypassing a portion of an analytics workflow. In some examples, execution of an analytics workflow may be monitored upon receipt of a raw data and the execution may be interrupted at an optimal bypass stage to obtain insights data from the raw data. A similarity analysis may be performed to compare the insights data to a stored insights data in an insights data repository. Based, at least in part, on a determination of similarity, a bypass operation may be performed to bypass a remainder of the analytics workflow.
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