Level 3 Communications, LLC

Frank Moss

Kevin Michael McBride

Brent W Smith

James E Sutherland

Bryan J Dreyer

Brett E Dwyer

Jamie Lin

Glenn B Balanoff

William O'Brien, Jr

Mitch Mollard

Charles Stallings

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.

Intent-based orchestration using network parsimony trees

Novel tools and techniques are provided for implementing intent-based disaggregated and distributed composable infrastructure. In some embodiments, a computing system might receive, over a network, a request for network services from a customer, the request comprising desired characteristics and performance parameters, without specific information regarding any of hardware, hardware type, location, or network for providing the requested services. The computing system might identify network resources based at least in part on the desired characteristics and performance parameters, might establish transport links between the identified two or more network resources (which may be disaggregated and distributed), might configure (in some cases, based on derived distributable synchronization state(s)) at least one of the identified network resources to simulate zero (or near-zero) latency and/or to simulate zero (or near-zero) distance between the identified network resources, and might allocate the identified two or more network resources for providing the requested network services.

Disaggregated and distributed composable infrastructure

Growing community of inventors

Chesterfield, MO, United States of America

Frank Moss