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US Patent 10217256 Visually exploring and analyzing event streams

Patent 10217256 was granted and assigned to Oracle on February, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Applicant
Oracle
Oracle
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Current Assignee
Oracle
Oracle
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
102172560
Patent Inventor Names
Prabhu Thukkaram0
Vitaly Bychkov0
Alexandre de Castro Alves0
Dmitrii Markovskii0
Ilya Shikalov0
Natalia Nikiforova0
Date of Patent
February 26, 2019
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Patent Application Number
159360370
Date Filed
March 26, 2018
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Patent Citations Received
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US Patent 11977549 Clustering event processing engines
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US Patent 10880363 Integrating logic in micro batch based event processing systems
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US Patent 11573965 Data partitioning and parallelism in a distributed event processing system
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US Patent 10958714 Framework for the deployment of event-based applications
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US Patent 11657056 Data serialization in a distributed event processing system
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US Patent 11503107 Integrating logic in micro batch based event processing systems
Patent Primary Examiner
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Xin Sheng
0
Patent abstract

Some event ordering requirements can be determined based on continuous event processing queries. Other event ordering requirements can be determined based on distribution flow types being used to distribute events from event streams to node executing the queries. Events from event streams can be ordered according to ordering semantics that are based on a combination of all of these event ordering requirements. Additionally, virtual computing nodes can be associated with constraints, and computing processors can be associated with capabilities. Virtual computing nodes for processing event streams can be assigned to execute on various computing processors based on both these constraints and capabilities. Additionally, for each of several events in an event stream, a ratio between a total latency and a communication latency can be for determined. Based on an average of these ratios, a quantity of reducing nodes that will be involved in a map-reduce operation can be selected.

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