In accordance with embodiments disclosed herein, an exemplary system or computer implemented method for implementing the virtualization of access node functions may include, for example: a memory to store instructions for execution; one or more processors to execute the instructions; a control plane interface to communicably interface the system with an access node over a network, in which the access node is physically coupled with a plurality of broadband lines; a virtualized module to provide a virtualized implementation of a plurality of functions of the access node at the system, in which the virtualized module executes on a virtualized computing infrastructure; the control plane interface of the system to receive current operational data and current operating conditions for the plurality of broadband lines from the access node; the virtualized module to update the virtualized implementation of the plurality of functions of the access node at the system according to the current operational data and the current operating conditions received from the access node; an analysis module to analyze the current operational data and the current operating conditions received from the access node; an instruction module to generate control parameters to affect operation of the access node based on the analysis of the current operational data and the current operating conditions received; and the control plane interface to send the control parameters to the access node for adoption at the access node. Other related embodiments are disclosed.

A device in an evolved packet core (EPC) which includes a processor and a memory. The processor effectuates operations including receiving, from one or more devices residing within a customer premise equipment (CPE) portion of a telecommunications network, sensor data associated with one or more customers and in response to receiving the sensor data, generating a data request for an ecosystem status for the CPE portion of the telecommunications network. The processor further effectuates operations including obtaining customer information for the one or more customers and creating an analytics environment, using the customer information, for the one or more customers. The processor further effectuates operations including performing, within the analytics environment, analytics on the sensor data to determine a state of the CPE portion of the telecommunications network for the one or more customers and in response to performing analytics on the sensor data, optimizing the telecommunications network.

Systems and methods for implementing a network metering system which includes a classifier which measures network usage by device, application, device and application and time of day, where the device is given an end-user identifiable device type name based on characteristics of network traffic the device carried, and at least in part based on the upstream domain names the device has interacted with; and a traffic shaper that allows device network traffic and application network traffic to be individually controlled with control settings, including blocking, blocking by time of day, blocking when usage limits are reached, rate limiting and rate limiting by time of day.

A software-defined network controller (SDN controller) defines a first network flow to be selectively implemented by a networking device according to a first network operation profile. The SDN controller defines a second network flow to be selectively implemented by the networking device according to a second network operation profile. A memory device of the networking device may store at least first and second network operation profiles for selective implementation during defined event windows. The event window(s) may be defined by start event inputs and stop event inputs. The event inputs may include, without limitation, a combination of parameter-based inputs and/or temporal inputs. In one specific embodiment, the networking device detects a network event and modifies a network operation profile for a preset time period and/or until an interrupt or stop event is detected.

Various systems and methods for implementing a service-level agreement (SLA) apparatus receive a request from a requester via a network interface of the gateway, the request comprising an inference model identifier that identifies a handler of the request, and a response time indicator. The response time indicator relates to a time within which the request is to be handled indicates an undefined time within which the request is to be handled. The apparatus determines a network location of a handler that is a platform or an inference model to handle the request consistent with the response time indicator, and routes the request to the handler at the network location.

A method is provided for configuring communication of data points from producers of data points of an industrial automation control system, power distribution system, power generation system, and/or power transmission system to a consumer of data points. The method includes receiving, by a configuration device, information on required data points. The required data points are a subset of all available data points and are the set of data points required by the consumer of data points. The configuration device automatically determines a communication configuration of data points for transmission of the required data points from the producers to the consumer.

A tool listening device including a transceiver is configured to listen on a radio channel selected from a discovery channel hopping sequence. The tool listening device is configured to identify a preamble, indicating a start of a packet. The tool listening device continues to listen until a packet header is received. The tool listener extracts, from the packet header, a source address, a destination address and a frame type. The tool listening device adds the source address, the destination address, and the frame type to a data structure, and transmits the data structure to an external device, where the data may be visualized. The tool listening device is further configured to select another radio channel from the discovery channel hopping sequence.

Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.

A system and method for generating a time-sensitive network schedule for a desired TSN includes defining a network topology of the desired TSN including at least a set of end nodes communicative connected by way of a set of switching nodes, defining a set of device parameters for each of the set of end nodes and each of the set of switching nodes of the desired TSN, determining, by a TSN scheduler module, a TSN schedule for the desired TSN based on the defined network topology and the defined set of device parameters for each of the set of end nodes and each of the set of switching nodes, and generating a per-device configuration for each of the set of end nodes and each of the set of switching nodes of the desired TSN, based on the determined TSN schedule.

Device capabilities of a communication device can be managed in a utilization-aware manner A resource management component (RMC) can analyze usage data and historical usage data relating to usage of resources relating to frequency bands in carrier aggregation, MIMO, and RATs associated with the device in connection with power usage of the device. RMC can determine whether to adjust the resources associated with the device, based on a result of the analyzing, a threshold data throughput, and/or a state of the display screen of the device, to facilitate controlling an amount of power utilized by the device. If the threshold data throughput is satisfied, the RMC can remove a frequency band(s), reduce the number of MIMO layers, or fall back from a newer RAT to a legacy RAT. RMC can use artificial intelligence to determine a threshold for data throughput and a threshold for the display screen timer.