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US Patent 10277668 Beacon-based distributed data processing platform

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Is a
Patent
Patent
1

Patent attributes

Patent Applicant
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1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
102776681
Patent Inventor Names
Patricia Gomes Soares Florissi1
Date of Patent
April 30, 2019
1
Patent Application Number
149823551
Date Filed
December 29, 2015
1
Patent Citations
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US Patent 10122806 Distributed analytics platform
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US Patent 10015106 Multi-cluster distributed data processing platform
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US Patent 10111492 Article of footwear with dynamic edge cavity midsole
1
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US Patent 10127352 Distributed data processing platform for metagenomic monitoring and characterization
Patent Citations Received
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US Patent 11854707 Distributed data analytics
6
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US Patent 10984889 Method and apparatus for providing global view information to a client
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US Patent 10986168 Distributed catalog service for multi-cluster data processing platform
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US Patent 10999353 Beacon-based distributed data processing platform
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US Patent 11749412 Distributed data analytics
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US Patent 10374968 Data-driven automation mechanism for analytics workload distribution
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US Patent 10404787 Scalable distributed data streaming computations across multiple data processing clusters
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US Patent 10425350 Distributed catalog service for data processing platform
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Patent Primary Examiner
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Thuong Nguyen
1
Patent abstract

A method comprises initiating a first application in a first one of a plurality of distributed processing nodes, and responsive to initiation of the first application, identifying a plurality of beacon entities to be contacted in conjunction with execution of at least a portion of the first application. The method also comprises, for each of at least a subset of the identified beacon entities, initiating an additional application in an additional one of the plurality of distributed processing nodes. The method further comprises aggregating processing results from the first and one or more additional processing nodes, and providing the aggregated processing results to a client. The plurality of distributed processing nodes may comprise a plurality of YARN clusters associated with respective data zones, with each of the clusters being configured to perform processing operations utilizing local data resources locally accessible within its corresponding data zone.

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