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US Patent 11855911 Intent-based orchestration using network parsimony trees

Patent 11855911 was granted and assigned to Level 3 Communications on December, 2023 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors

Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Level 3 Communications
Level 3 Communications
1
Current Assignee
Level 3 Communications
Level 3 Communications
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
118559111
Patent Inventor Names
Frank Moss1
Brent Smith1
Glenn B. Balanoff1
Jamie Lin1
James E. Sutherland1
Kevin M. McBride1
Brett E. Dwyer1
Bryan Dreyer1
Date of Patent
December 26, 2023
1
Patent Application Number
181377911
Date Filed
April 21, 2023
1
Patent Citations
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US Patent 11423886 Task flow identification based on user intent
1
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US Patent 10333724 Method and system for low-overhead latency profiling
1
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US Patent 11574242 Guided workflows for machine learning-based data analyses
1
Patent Primary Examiner
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Sm A Rahman
1
CPC Code
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H04L 67/1021
1
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H04L 67/101
1
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G06F 16/2246
1
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G06F 16/51
1
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G06N 3/04
1
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G06T 11/001
1
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G06T 11/206
1
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H04L 67/1012
1
...
Patent abstract

Novel tools and techniques are provided for implementing intent-based orchestration using network parsimony trees. In various embodiments, in response to receiving a request for network services that comprises desired characteristics and performance parameters for the requested network services without information regarding specific hardware, hardware type, location, or network, a computing system might generate a request-based parsimony tree based on the desired characteristics and performance parameters. The computing system might access, from a datastore, a plurality of network-based parsimony trees that are each generated based on measured network metrics, might compare the request-based parsimony tree with each of one or more network-based parsimony trees to determine a fitness score for each network-based parsimony tree, and might identify a best-fit network-based parsimony tree based on the fitness scores. The computing system might identify and might allocate network resources based on the identified best-fit network-based parsimony tree, for providing the requested network services.

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