Centurylink Intellectual Property LLC

Level 3 Communications, LLC

Tivo Corporation

Embarq Holdings Company, LLC

Adeia Media Holdings LLC

Kevin Michael McBride

Steven M Casey

Charles Ivan Cook

Felipe Castro

Andrew V Cook

Stephen Opferman

William O'Brien, Jr

James E Sutherland

Michael K Bugenhagen

Clinton J Smoyer

Michael P Morrissey

Jade D Kerr

Michael J Fargano

Ronnie S Dhaliwal

William R Walker

Thomas Schwengler

Matthew J Post

Brent W Smith

Bryan J Dreyer

Frank Moss

John McManus

Brett E Dwyer

Jamie Lin

Glenn B Balanoff

Hunter Rudd

John T Pugaczewski

Misbah Ur Rehman

Aaron Jones

Carl Matthew Olson

Thomas Charles Barnett, Jr

Robert J Morrill

Kristopher Dick

Charles Stallings

Mitch Mollard

Novel tools and techniques might provide for implementing application, service, and/or content access control. Based at least in part on a consumer's choice of applications, services, content, and/or content providers-particular in exchange for a subsidy on content and/or network access fees provided to the consumer by chosen content providers-, a computing system may determine whether access to applications, services, and/or content not associated with the chosen content providers ('other content') should be allowed or restricted. If restricted, the computing system might utilize various network access techniques and/or technologies to block the consumer's access to the other content, to allow access to the other content on a charge per access basis, or to allow access to the other content at reduced network access speeds. In some embodiments, an access provider (e.g., an Internet service provider, etc.) might perform both determination and implementation of content access and restriction.

Consumer choice for broadband application and content services

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

Novel tools and techniques are provided for utilizing blockchain to implement named data networking. In various embodiments, a computing system might determine whether a cache that is communicatively coupled to the computing system contains data that is responsive to a first request received from a user. If so, the computing system might retrieve and send (to the client device) data that is responsive to the received first request. If not, the computing system might send, to a blockchain system, a second request for identifying a blockchain containing a block containing data responsive to the received first request. In response to identifying such a blockchain, the computing system might receive a copy of the identified blockchain; might abstract, from the identified blockchain, the block containing the data responsive to the received first request; might abstract the data from the identified block; and might send the data to the client device.

Utilizing blockchains to implement named data networking

Novel tools and techniques are provided for implementing a telemetry hub, and, more particularly, to methods, systems, and apparatuses for implementing a telemetry hub that obtains sensor data from a plurality of sources and that determines one or more first actions to take in response to receiving the first sensor data. In operation, a telemetry hub might receive first sensor data from one or more sensors. The telemetry hub may determine whether the first sensor data can be trusted and whether the first sensor data is valid. Based on a determination that the first sensor data can be trusted and is valid, the telemetry hub might analyze the first sensor data to determine one or more first actions to take. The telemetry hub might then implement the one or more first actions based at least in part on the analysis of the first sensor data.

Telemetry hub

The present technology relates to improving computing services in a distributed network of remote computing resources, such as edge nodes in an edge compute network. In an aspect, the technology relates to a method that includes aggregating historical request data for a plurality of requests, wherein the aggregated historical request data a time of the request, a location of a device from which the request originated, and/or a type of service being requested. The method also incudes training a machine learning model based on the aggregated historical request data; generating, from the trained machine learning model, a prediction for a type of service to be request; identifying an edge node, from a plurality of edge nodes, based on a physical location of the edge node; and based on predicted service, allocating computing resources for the computing service on the identified edge node.

Predictive resource allocation in an edge computing network utilizing machine learning

Novel tools and techniques are provided for implementing data and source validation for equipment output data and/or for equipment failure predict. In various embodiments, in response to receiving a first request for first data that is output by first equipment, a computing system might retrieve and analyze the first data to determine whether the first data can be trusted. If so, the computing system might send the first data to the requesting device. If not, the computing system might send a second request for identifying a blockchain containing a block containing a copy of the first data. In response to the blockchain system identifying such a blockchain, the computing system might receive the identified blockchain; might abstract the block containing the copy of the first data from the identified blockchain; might abstract the first data from the block; and might send the first data to the requesting device.

Data and source validation for equipment output data or equipment failure prediction using blockchains

Novel tools and techniques are provided for implementing network experience shifting, and, in particular embodiments, using either a roaming or portable hypervisor associated with a user or a local hypervisor unassociated with the user. In some embodiments, a network node in a first network might receive, via a first network access device in a second network, a request from a user device to establish roaming network access, and might authenticate a user associated with the user device, the user being unassociated with the first network access device. Based on a determination that the user is authorized to access data, content, profiles, and/or software applications that are accessible via a second network access device, the network node might establish a secure private connection through a hypervisor or container communicatively coupled to the first network access device to provide the user with access to her data, content, profiles, and/or software applications.

System and method for implementing network experience shifting

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

The present technology relates to improving computing services in a distributed network of remote computing resources, such as edge nodes in an edge compute network. In an aspect, the technology relates to a system that includes a plurality of edge nodes and a beacon. The system performs operations that may include collecting traffic data from the beacon over a period of time, wherein the traffic data includes at least an amount of devices sending probe requests to the beacon; comparing the amount of devices to a predetermined threshold for traffic data; and based on the comparison of the amount of devices to the predetermined threshold for traffic data, generating a recommendation for installation of a new edge node in addition to the plurality of edge nodes.

Predictive resource allocation in an edge computing network utilizing beacons

Novel tools and techniques might provide for implementing application, service, and/or content access control. Based at least in part on a consumer's choice of applications, services, content, and/or content providers—particular in exchange for a subsidy on content and/or network access fees provided to the consumer by chosen content providers—, a computing system may determine whether access to applications, services, and/or content not associated with the chosen content providers ('other content') should be allowed or restricted. If restricted, the computing system might utilize various network access techniques and/or technologies to block the consumer's access to the other content, to allow access to the other content on a charge per access basis, or to allow access to the other content at reduced network access speeds. In some embodiments, an access provider (e.g., an Internet service provider, etc.) might perform both determination and implementation of content access and restriction.

Growing community of inventors

Lone Tree, CO, United States of America

Kevin Michael McBride