Level 3 Communications, LLC

Bryan J Dreyer

Kevin Michael McBride

Brent W Smith

James E Sutherland

Brett E Dwyer

Jamie Lin

Glenn B Balanoff

Frank Moss

Kristopher Dick

Jason Nault

William Roemhild

A server configuration tool is presented for autonomously configuring servers located in a network. The tool may autonomously configure multiple servers in parallel based on individual states of the servers, which may be periodically and simultaneously determined. For example, the tool may determine which action to take to begin or continue configuring the server based on the present state of each server. Server states (and corresponding actions) can be edited through a user interface to alter the server configuration process without code changes. At any one time, multiple servers may be in different states requiring different configuration operations to configure the servers to be ready for use. The present systems and methods can be used to move multiple servers iteratively through different configuration actions based on the individual state of each server and to perform non-conflicting configuration operations for multiple servers in parallel.

Edge compute environment automatic server configuration tool

This disclosure describes systems, methods, and devices related to automating and testing communication network topologies. A method may include identifying templates of respective communication network topologies defining network devices, connections between the network devices, roles for the network devices, and performance tests for the communication network topologies; selecting a first template; instantiating an instance to generate a first communication network topology by establishing first connections between first network devices based on the first communication network topology and first roles of first network devices of the first communication network topology; generating performance test results for the first communication network topology based on performance of first performance tests defined by the first template, wherein first test thresholds of the first performance tests are based on a machine learning model trained based on the communication network topologies and the performance tests; and modifying the first test thresholds based on the performance test results.

Enhanced network automation

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

Aspects of the present disclosure include systems and methods for automatically scanning a network for network devices, retrieving and storing device information associated with any identified network devices, and updating records of a DNS based on the retrieved device information. The updated records of the DNS may include the IP address of a given network device and a device name that is automatically generated from the retrieved device information using a set of naming rules applied to the device information. Accordingly, subsequent queries including the device names may be submitted to the DNS to retrieve the corresponding IP addresses. The resulting device names generated by applying the naming rules may be based on, among other things, logical or physical properties of the network devices.

Systems and methods for automatic inventory and DNS record generation

Growing community of inventors

Broomfield, CO, United States of America

Bryan J Dreyer