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US Patent 11232100 Resource allocation for multiple datasets

Patent 11232100 was granted and assigned to Splunk on January, 2022 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Splunk
Splunk
Current Assignee
Splunk
Splunk
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11232100
Date of Patent
January 25, 2022
Patent Application Number
15665187
Date Filed
July 31, 2017
Patent Citations
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US Patent 10091100 Network functions virtualization infrastructure comprising virtual switch for internet of things data
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US Patent 10127258 Event time selection output techniques
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US Patent 10095993 Methods and apparatus for configuring granularity of key performance indicators provided by a monitored component
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US Patent 10142204 Techniques for evaluating server system reliability, vulnerability and component compatibility using crowdsourced server and vulnerability data
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US Patent 10318491 Object metadata query with distributed processing systems
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US Patent 10318511 Expression tree interning
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US Patent 10031922 Systems and methods for query evaluation over distributed linked data stores
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US Patent 10037341 Nesting tree quotas within a filesystem
Patent Citations Received
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US Patent 12118009 Supporting query languages through distributed execution of query engines
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US Patent 11500875 Multi-partitioning for combination operations
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US Patent 11514086 Generating statistics associated with unique field values
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US Patent 12072939 Federated data enrichment objects
0
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US Patent 12093272 Retrieving data identifiers from queue for search of external data system
0
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US Patent 11494380 Management of distributed computing framework components in a data fabric service system
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US Patent 11520816 Filtering event records based on selected extracted value
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US Patent 11556577 Filtering event records based on selected extracted value
...
Patent Primary Examiner
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Ashish Thomas
Patent abstract

Systems and methods are disclosed for processing queries against multiple dataset sources. One dataset source can include indexers that index and store data. The system can receive a query that identifies a set of data to be processed and a manner of processing the set of data. The set of data can include a first dataset that is accessible by one or more indexers and a second dataset that is accessible by one or more other dataset sources. A query coordinator can define a query processing scheme for obtaining and processing the set of data that includes a dynamic allocation of multiple layers of partitions. The partitions can operate on multiple worker nodes. The query can then be executed based on the query processing scheme.

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