Abstract: 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.

Abstract: Methods, devices and systems are disclosed for inter-app communications between software applications on a mobile communications device. In one aspect, a computer-readable medium on a mobile computing device comprising an inter-application communication data structure to facilitate transitioning and distributing data between software applications in a shared app group for an operating system of the mobile computing device includes a scheme field of the data structure providing a scheme id associated with a target software app to transition to from a source software app, wherein the scheme id is listed on a scheme list stored with the source software app; and a payload field of the data structure providing data and/or an identification where to access data in a shared file system accessible to the software applications in the shared app group, wherein the payload field is encrypted.

Abstract: 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.

Abstract: 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.

Abstract: 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.

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.

Abstract: Novel tools and techniques are provided for remotely configuring and orchestrating multifunctional cloud devices located on customer premises, in some cases, using a smart cloud adaptive device. In some embodiments, the smart cloud adaptive device, which might have one or more wireless programmable radios configured to communicate with a network termination device, might communicate with a cloud configuration server over a network via the one or more wireless programmable radios (and, in some embodiments, through the network termination device). The smart cloud adaptive device might transmit device identification information associated with a customer and/or service codes indicative of services to be provided to the customer. The smart cloud adaptive device might receive one or more configuration files from the cloud configuration server based on the service codes, and enable functionality among a plurality of functionalities to provision the services, based on the one or more configuration files.

Abstract: 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.

Abstract: 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.

Abstract: Novel tools and techniques are provided for implementing tracking or storing of equipment configuration data using immutable ledger functionality of blockchains. In various embodiments, in response to receiving a first request for first configuration data that is output by first equipment, a computing system might determine whether a communicatively coupled data repository contains the first configuration data. If so, the computing system might retrieve and send (to the requesting device) the first configuration data. If not, the computing system might send, to a blockchain system, a second request for identifying a blockchain containing a block containing the first configuration data.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

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.

Abstract: Novel tools and techniques are provided for remotely configuring and orchestrating multifunctional cloud devices located on customer premises, in some cases, using a smart cloud adaptive device. In some embodiments, the smart cloud adaptive device, which might have one or more wireless programmable radios configured to communicate with a network termination device, might communicate with a cloud configuration server over a network via the one or more wireless programmable radios (and, in some embodiments, through the network termination device). The smart cloud adaptive device might transmit device identification information associated with a customer and/or service codes indicative of services to be provided to the customer. The smart cloud adaptive device might receive one or more configuration files from the cloud configuration server based on the service codes, and enable functionality among a plurality of functionalities to provision the services, based on the one or more configuration files.

Abstract: Novel tools and techniques are provided for implementing tracking or storing of equipment configuration data using immutable ledger functionality of blockchains. In various embodiments, in response to receiving a first request for first configuration data that is output by first equipment, a computing system might determine whether a communicatively coupled data repository contains the first configuration data. If so, the computing system might retrieve and send (to the requesting device) the first configuration data. If not, the computing system might send, to a blockchain system, a second request for identifying a blockchain containing a block containing the first configuration data.

Abstract: 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.

Abstract: 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.

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.