Abstract: A system can include a producer device to receive reference data from a reference station. The system can include a queue device to store a reference message, corresponding to the reference data, in a message queue. The system can include a mapping device to store mapping information indicating that the message queue is associated with the reference station. The system can include a consumer device to identify the message queue as being associated with a microservice to be provided to a client device based on a microservice request. The message queue can be identified based on the mapping information. The consumer device can obtain the reference message from the message queue, generate corrections data associated with the client device, and provide the corrections data.

Abstract: One or more computing devices, systems, and/or methods for calibrating barometric sensors and/or determining altitudes of devices are provided. In an example, one or more barometric pressure measures are determined using a barometric sensor of a device. One or more locations of the device are determined based upon one or more global navigation satellite system (GNSS) signals and one or more corrective signals associated with the one or more GNSS signals. One or more reference values are determined based upon the one or more locations. A barometric offset is determined based upon the one or more barometric pressure measures and the one or more reference values. A first barometric measurement is performed using the barometric sensor to determine a first barometric pressure measure. An adjusted barometric pressure measure and/or an altitude of the device are determined based upon the first barometric pressure measure and the barometric offset.

Abstract: A first key management entity (KME) in a mobile edge network engages in quantum key distribution (QKD) with a second KME in a far network to generate a secret cryptographic key that is shared between the first KME and the second KME. The first KME determines a key identifier (ID) for associating with the cryptographic key, and sends the key ID to the second KME for association with the secret cryptographic key at the second KME. The first KME receives a session request from a first session endpoint for a session across at least one of the mobile edge network or the far network. The first KME sends the key ID and the cryptographic key to the first session endpoint for establishing an encrypted session across the at least one of the mobile edge network or the far network.

Abstract: A device may receive fiber sensing data identifying vehicles traveling on a roadway associated with a fiber optic network and location data identifying geographical locations of the vehicles traveling on the roadway. The device may process the fiber sensing data, with a machine learning model, to identify a particular vehicle, of the vehicles, that is traveling in a wrong direction on the roadway. The device may process the location data, with the machine learning model, to identify locations of the roadway, a cellular network associated with the roadway, and vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle, and a nearest camera device to the particular vehicle. The device may perform one or more actions based on the locations of the roadway, the cellular network associated with the roadway, and the vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle.

Abstract: A device may receive fiber sensing data identifying vehicles traveling on a roadway associated with a fiber optic network and location data identifying geographical locations of the vehicles traveling on the roadway. The device may process the fiber sensing data, with a machine learning model, to identify a particular vehicle, of the vehicles, that is traveling in a wrong direction on the roadway. The device may process the location data, with the machine learning model, to identify locations of the roadway, a cellular network associated with the roadway, and vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle, and a nearest camera device to the particular vehicle. The device may perform one or more actions based on the locations of the roadway, the cellular network associated with the roadway, and the vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle.

Abstract: One or more computing devices, systems, and/or methods for calibrating barometric sensors and/or determining altitudes of devices are provided. In an example, one or more barometric pressure measures are determined using a barometric sensor of a device. One or more locations of the device are determined based upon one or more global navigation satellite system (GNSS) signals and one or more corrective signals associated with the one or more GNSS signals. One or more reference values are determined based upon the one or more locations. A barometric offset is determined based upon the one or more barometric pressure measures and the one or more reference values. A first barometric measurement is performed using the barometric sensor to determine a first barometric pressure measure. An adjusted barometric pressure measure and/or an altitude of the device are determined based upon the first barometric pressure measure and the barometric offset.

Abstract: A device may receive fiber sensing data identifying vehicles traveling on a roadway associated with a fiber optic network and location data identifying geographical locations of the vehicles traveling on the roadway. The device may process the fiber sensing data, with a machine learning model, to identify a particular vehicle, of the vehicles, that is traveling in a wrong direction on the roadway. The device may process the location data, with the machine learning model, to identify locations of the roadway, a cellular network associated with the roadway, and vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle, and a nearest camera device to the particular vehicle. The device may perform one or more actions based on the locations of the roadway, the cellular network associated with the roadway, and the vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle.

Abstract: A device may receive fiber sensing data identifying vehicles traveling on a roadway associated with a fiber optic network and location data identifying geographical locations of the vehicles traveling on the roadway. The device may process the fiber sensing data, with a machine learning model, to identify a particular vehicle, of the vehicles, that is traveling in a wrong direction on the roadway. The device may process the location data, with the machine learning model, to identify locations of the roadway, a cellular network associated with the roadway, and vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle, and a nearest camera device to the particular vehicle. The device may perform one or more actions based on the locations of the roadway, the cellular network associated with the roadway, and the vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle.

Abstract: A system can include a producer device to receive reference data from a reference station. The system can include a queue device to store a reference message, corresponding to the reference data, in a message queue. The system can include a mapping device to store mapping information indicating that the message queue is associated with the reference station. The system can include a consumer device to identify the message queue as being associated with a microservice to be provided to a client device based on a microservice request. The message queue can be identified based on the mapping information. The consumer device can obtain the reference message from the message queue, generate corrections data associated with the client device, and provide the corrections data.

Abstract: A system can include a producer device to receive reference data from a reference station. The system can include a queue device to store a reference message, corresponding to the reference data, in a message queue. The system can include a mapping device to store mapping information indicating that the message queue is associated with the reference station. The system can include a consumer device to identify the message queue as being associated with a microservice to be provided to a client device based on a microservice request. The message queue can be identified based on the mapping information. The consumer device can obtain the reference message from the message queue, generate corrections data associated with the client device, and provide the corrections data.

Abstract: A device receives reference data from reference receivers associated with base stations, and synchronizes the reference data to a reference time to generate synchronized reference data for the reference receivers. The device processes the synchronized reference data to determine location error information associated with one or more of the reference receivers, and receives information indicating that a user device, located at an observed location, connects to a particular base station of the base stations. The device determines a location correction for the observed location, or an actual location of the user device, based on particular location error information for a particular reference receiver, of the reference receivers, associated with the particular base station, and causes information identifying the location correction or information identifying the actual location of the user device to be provided to the user device.

Abstract: A system can include a producer device to receive reference data from a reference station. The system can include a queue device to store a reference message, corresponding to the reference data, in a message queue. The system can include a mapping device to store mapping information indicating that the message queue is associated with the reference station. The system can include a consumer device to identify the message queue as being associated with a microservice to be provided to a client device based on a microservice request. The message queue can be identified based on the mapping information. The consumer device can obtain the reference message from the message queue, generate corrections data associated with the client device, and provide the corrections data.

Abstract: A computer device may include logic configured to generate a virtualized environment for a customer; receive a request to provide a route reflector service for the customer; and generate a virtual route reflector on the generated virtualized environment, in response to receiving the request to provide the route reflector service for the customer. The logic may further be configured to establish a Virtual Private Network (VPN) or secure tunnel connection between the generated virtual route reflector and a client router associated with a customer network via a cloud center access system, wherein the cloud center access system connects a cloud center system that includes the computer device to a provider network that includes the client router; and establish a Border Gateway Protocol (BGP) session between the client router and the generated virtual route reflector using the established VPN or secure tunnel connection.

Abstract: A smart shopping container and supporting network perform object recognition for items in a retail establishment. A network device receives a signal from a user device to associate a portable container with a retail application being executing on the user device. The network device receives, from the container, images of a holding area of the container. The images are captured by different cameras at different positions relative to the holding area and are captured proximate in time to detecting an activity that places an object from the retail establishment into the holding area. The network device generates a scene of the holding area constructed of multiple images from the different cameras and identifies the object as a retail item using the scene. The network device associates the retail item with a stock-keeping unit (SKU) and creates a product list that includes an item description for the object associated with the SKU.

Abstract: A device receives reference data from reference receivers associated with base stations, and synchronizes the reference data to a reference time to generate synchronized reference data for the reference receivers. The device processes the synchronized reference data to determine location error information associated with one or more of the reference receivers, and receives information indicating that a user device, located at an observed location, connects to a particular base station of the base stations. The device determines a location correction for the observed location, or an actual location of the user device, based on particular location error information for a particular reference receiver, of the reference receivers, associated with the particular base station, and causes information identifying the location correction or information identifying the actual location of the user device to be provided to the user device.

Abstract: A system for and method of automatic discovery and configuration of network interface devices is presented. A network interface device (NID) may be included a pre-configured maintenance entity end point (MEP), whereby upon use, the NID may begin sending at least one discovery message to a provider edge device, each discovery message including an organizationally unique identifier. The provider edge device may strip the discovery message(s) to determine the message content, which may then be forwarded to a NIS management system. The NID management system may then identify an identification number of the NID, determine where the NID is installed and send any configuration data to the NID via the provider edge device to configure the NID.

Abstract: A master network interface device (NID) receives a first packet flow associated with a particular customer via a first link of a link aggregation group (LAG). The master NID also receives, from a non-master NID, an indication of a second packet flow, associated with the particular customer, that are traversing a second link of the LAG. The master NID applies collective rate limiting criteria to the first packet flow and to the second packet flow, such that the collective rate limiting criteria enforces a SLA rate for the particular customer. The master NID forwards at least some of the first packet flow via the first link, based on the rate limiting criteria as applied to the first packet flow. The master NID also sends, to the non-master network interface device, an indication of the rate limiting criteria as applied to the second packet flow.

Abstract: A computer device may include logic configured to generate a virtualized environment for a customer; receive a request to provide a route reflector service for the customer; and generate a virtual route reflector on the generated virtualized environment, in response to receiving the request to provide the route reflector service for the customer. The logic may further be configured to establish a Virtual Private Network (VPN) or secure tunnel connection between the generated virtual route reflector and a client router associated with a customer network via a cloud center access system, wherein the cloud center access system connects a cloud center system that includes the computer device to a provider network that includes the client router; and establish a Border Gateway Protocol (BGP) session between the client router and the generated virtual route reflector using the established VPN or secure tunnel connection.

Abstract: Network connectivity management includes monitoring a circuit, wherein the circuit is a virtual connection between multiple networks via a provider core network. A device receives a plurality of network management messages associated with the circuit, and a determination is made regarding whether the circuit is experiencing a connectivity issue based on the network management messages. When it is determined that the circuit is experiencing a connectivity issue, then certain actions can be initiated.

Abstract: A technique for mid-span re-optimization of traffic engineered label switched paths within a network that uses a label switching protocol (e.g., MPLS) enables a network operator to move traffic to quickly prepare for link or nodal maintenance. The technique establishes, at an intermediate router, a first label switch path (LSP) along a path between an ingress router and an egress router. The intermediate router forwards traffic via the first LSP and establishes a bypass tunnel to protect against link failure between the intermediate router and a next intermediate router on the first LSP. The intermediate router continues forwarding traffic on the first LSP, instead of the bypass tunnel, based on the receipt of a link failure simulation instruction at the intermediate router from a network administration node. The intermediate router discontinues forwarding the traffic via the first LSP based on the receipt of second signaling.