James M Sutherland

US Patent:

20220278945, Sep 1, 2022

Filed:

May 18, 2022

Appl. No.:

17/747041

Inventors:

- Broomfield CO, US
Brett E. Dwyer - Clermont FL, US
James E. Sutherland - Vancouver WA, US
Jamie Lin - Clayton MO, US
Brent Smith - Arvada CO, US
Glenn B. Balanoff - Arvada CO, US
Frank Moss - Chesterfield MO, US
Bryan Dreyer - Bellevue WA, US

Assignee:

Level 3 Communications, LLC - Broomfield CO

International Classification:

H04L 47/70
H04L 67/51
G06F 16/22
G06F 16/51
G06N 3/04
G06T 11/00
H04L 47/762
H04L 41/0816
H04L 41/14
H04L 41/5009
H04L 41/5019
H04L 41/5054
H04L 43/045
G06T 11/20

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.

US Patent:

20230096135, Mar 30, 2023

Filed:

Nov 18, 2022

Appl. No.:

17/990363

Inventors:

- Broomfield CO, US
Brett E. Dwyer - Clermont FL, US
James E. Sutherland - Vancouver WA, US
Jamie Lin - Clayton MO, US
Brent Smith - Arvada CO, US
Glenn B. Balanoff - Arvada CO, US
Frank Moss - Chesterfield MO, US
Bryan Dreyer - Bellevue WA, US

Assignee:

Level 3 Communications, LLC - Broomfield CO

International Classification:

H04L 47/70
H04L 43/045
G06N 3/04
G06T 11/20
G06F 16/22
G06F 16/51
G06T 11/00
H04L 41/0816
H04L 41/5009
H04L 41/5019
H04L 47/762
H04L 41/14
H04L 41/5054
H04L 67/51

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.

US Patent:

20210266269, Aug 26, 2021

Filed:

Feb 15, 2021

Appl. No.:

17/176066

Inventors:

- Broomfield CO, US
Brett E. Dwyer - Clermont FL, US
James E. Sutherland - Vancouver WA, US
Jamie Lin - Clayton MO, US
Brent Smith - Arvada CO, US
Glenn B. Balanoff - Arvada CO, US
Frank Moss - Chesterfield MO, US
Bryan Dreyer - Bellevue WA, US

International Classification:

H04L 12/911
H04L 12/26
H04L 29/08
G06T 11/00
G06T 11/20
G06F 16/22
G06F 16/51
G06N 3/04

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.