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US Patent 10146592 Managing resource allocation in a stream processing framework

Patent 10146592 was granted and assigned to Salesforce.com, Inc. on December, 2018 by the United States Patent and Trademark Office.

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Patent
Patent

Patent attributes

Patent Applicant
Current Assignee
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10146592
Date of Patent
December 4, 2018
Patent Application Number
14994131
Date Filed
January 12, 2016
Patent Citations Received
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US Patent 12137123 Rapid predictive analysis of very large data sets using the distributed computational graph
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US Patent 11983548 Dynamic execution of parameterized applications for the processing of keyed network data streams
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US Patent 12135989 Compute recommendation engine
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US Patent 10447750 Detecting events from ingested communication signals
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US Patent 10467067 Storing and verifying the integrity of event related data
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US Patent 10581945 Detecting an event from signal data
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US Patent 10831509 Dynamic execution of parameterized applications for the processing of keyed network data streams
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Patent Primary Examiner
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Tammy E Lee
Patent abstract

The technology disclosed relates to managing resource allocation to task sequences in a stream processing framework. In particular, it relates to operating a computing grid that includes machine resources, with heterogeneous containers defined over whole machines and some containers including multiple machines. It also includes initially allocating multiple machines to a first container, initially allocating first set of stateful task sequences to the first container, running the first set of stateful task sequences as multiplexed units of work under control of a container-scheduler, where each unit of work for a first task sequence runs to completion on first machine resources in the first container, unless it overruns a time-out, before a next unit of work for a second task sequence runs multiplexed on the first machine resources. It further includes automatically modifying a number of machine resources and/or a number assigned task sequences to a container.

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