Abstract: The disclosed technology is directed towards associating a distributed unit (a baseband function) with a radio unit, corresponding to a service area, when the radio unit transitions from an idle state to an active state with respect to serving user equipment. When an idle radio unit receives a message requesting connection from a formerly idle user equipment, or user equipment to be served due to a handover, the message triggers assignment of a distributed unit to the radio unit, whereby the radio unit becomes active to serve the user equipment. If insufficient distributed unit capacity exists, a new distributed unit is dynamically instantiated and assigned to the radio unit. When a radio unit transitions from active to idle, the radio unit is disassociated from the distributed unit. If a distributed unit is not associated with any radio unit, the distributed unit is deactivated to reduce resource consumption.

Abstract: A method, computer-readable medium, and apparatus for supporting services for customer traffic using edge clouds are disclosed. For example, a processing system may receive an indication of a set of customer devices of a customer of a network provider and an indication of a service of an edge cloud to be applied to customer traffic of the customer devices, support configuration of a network of the network provider to support a customer segment for the customer including configuration of a gateway of the network and a switch of the network that is associated with the edge cloud, support configuration of a virtual network between the switch and an edge cloud element supporting the service, and support configuration of the switch to support an association of the customer segment and the virtual network for supporting routing of the customer traffic to the service via the virtual network.

Abstract: The described technology is generally directed towards intelligent dual-connectivity for non-standalone network nodes. Network nodes can report state information to a central controller, such as a radio access network intelligent controller. The controller can determine, based on the state information reported by multiple network nodes, network nodes to cooperate in non-standalone mode. The controller can provide the network nodes with instructions to implement the controller's non-standalone relationship determinations.

Abstract: The disclosed technology is directed towards load balancing baseband units in a communications network. A baseband physical layer 1 unit's functions are disaggregated into Layer 1 (L1) distributed units and radio units, instead of deploying full-fledged baseband units at a service' provider's service areas (cells). A load balancer scales up the number of active distributed units based on increased actual demand, and scales down the active distributed units based on decreased demand The L1 distributed units and radio units can be software-defined network functions, and need not be collocated, whereby the distributed units can be in the cloud or hub remotely located relative to the radio units deployed at the service areas. Examples of load balancing can be load balancing of transmitted data per carrier, per subcarrier, per user equipment, per transmission time interval (TTI/slot), per bearer, or per channel.

Abstract: A method for estimating a position of a trailer relative to a truck of a road train includes providing or obtaining a kinematic model of the road train, providing or obtaining a length estimation of the trailer, and measuring an articulation angle between the truck and the trailer. The method further includes determining a position of the trailer relative to the truck using the kinematic model, the length estimation, and the measured articulation angle.

Abstract: A system for managing clouds of edge devices as an Infrastructure as a Service clouds includes an application server, a location based situational awareness subsystem and a cloud management subsystem. The cloud management subsystem includes a first API through which the application server makes request to the location based situational awareness subsystem and a conductor that searches for the optimal deployment of cloud resources that meet a set of constraints. A second API for managing and deploying applications on a selected set of the plurality of network connected devices. The system also includes a compute node that can interact with the selected set of the plurality of network connected devices to launch and manage containers on the selected set of the plurality of network connected devices.

Abstract: Systems and methods may create and manage hybrid clouds including both standard compute nodes and edge devices. Edge devices can be enrolled in a hybrid cloud by deploying a lightweight container to the edge device.

Abstract: According to one aspect disclosed herein, a system can include a set of node peers, including a first subset implemented in software and a second subset implemented in hardware. The first subset can include a software node. The second subset can include a hardware node that includes a hardware cache, a processor, and a memory that stores computer-executable instructions. The hardware node can receive, from a network, a packet, and can determine if data that identifies a path associated with the packet is stored in the hardware cache. If not, the hardware node can query the software node to identify the path associated with the packet, and can receive, in response from the software node, the data that identifies the path, which then can be stored in the hardware cache. The hardware node can forward, along the path, the packet to a network element.

Abstract: A system for managing clouds of edge devices as an Infrastructure as a Service clouds includes an application server, a location based situational awareness subsystem and a cloud management subsystem. The cloud management subsystem includes a first API through which the application server makes request to the location based situational awareness subsystem and a conductor that searches for the optimal deployment of cloud resources that meet a set of constraints. A second API for managing and deploying applications on a selected set of the plurality of network connected devices. The system also includes a compute node that can interact with the selected set of the plurality of network connected devices to launch and manage containers on the selected set of the plurality of network connected devices.

Abstract: Concepts and technologies are disclosed herein for providing streaming video from mobile computing nodes. A request for streaming video captured by a mobile computing node can be received at a computer including a processor that executes a controller. The request can include a parameter associated with the streaming video. The computer can initiate transmission of an inquiry message to two or more mobile computing nodes and receive inquiry message responses from the mobile computing nodes that include the mobile computing node. The inquiry message responses can indicate that the mobile computing nodes can satisfy the parameter. The computer can create a list of the mobile computing nodes that can satisfy the parameter and provide the list to the requestor. The computer can receive a selection of the mobile computing node, and initiate delivery of a video stream to the requestor.

Abstract: The described technology is generally directed towards network traffic splitting for dual connectivity user equipment. A network controller can monitor communications transmitted between radio access network node devices. The radio access network node devices can be associated with different generation communication protocols. The inter-node communications can be used assess relative performance of the radio access network node devices. For example, buffer growth rates can be estimated for the radio access network node devices, and buffer growth rates can be correlated with network node device performance. The relative performance of the radio access network node devices can then be used to adjust network traffic splits between the radio access network node devices.

Abstract: Systems and methods may create and manage hybrid clouds including both standard compute nodes and edge devices. Edge devices can be enrolled in a hybrid cloud by deploying a lightweight container to the edge device.

Abstract: According to one aspect disclosed herein, a system can include a set of node peers, including a first subset implemented in software and a second subset implemented in hardware. The first subset can include a software node. The second subset can include a hardware node that includes a hardware cache, a processor, and a memory that stores computer-executable instructions. The hardware node can receive, from a network, a packet, and can determine if data that identifies a path associated with the packet is stored in the hardware cache. If not, the hardware node can query the software node to identify the path associated with the packet, and can receive, in response from the software node, the data that identifies the path, which then can be stored in the hardware cache. The hardware node can forward, along the path, the packet to a network element.

Abstract: Devices, computer-readable media, and methods for submitting a modified voice input to a service based upon a user intent determined from a voice input in accordance with a voice interface of the service are disclosed. A processing system including at least one processor may obtain a voice input of a user, determine an intent from the voice input, identify a first service, from among a plurality of services, in accordance with the intent, and formulate a first modified voice input from the voice input in accordance with a voice interface of the first service, where each of the services is associated with one of a plurality of different voice interfaces. The processing system may further submit the first modified voice input to the first service, obtain a first voice response from the first service, and present a voice output to the user in accordance with the first voice response.

Abstract: Concepts and technologies are disclosed herein for providing streaming video from mobile computing nodes. A request for streaming video captured by a mobile computing node can be received at a computer including a processor that executes a controller. The request can include a parameter associated with the streaming video. The computer can initiate transmission of an inquiry message to two or more mobile computing nodes and receive inquiry message responses from the mobile computing nodes that include the mobile computing node. The inquiry message responses can indicate that the mobile computing nodes can satisfy the parameter. The computer can create a list of the mobile computing nodes that can satisfy the parameter and provide the list to the requestor. The computer can receive a selection of the mobile computing node, and initiate delivery of a video stream to the requestor.

Abstract: Methods, systems, and apparatuses, among other things, may direct client requests to an Edge Cloud location satisfying application requirements associated with the request. Moreover, a domain name service (DNS) query may be received, one or more requests associated with DNS query may be determined, a server may be identified based on the one or more requests, and the DNS query may be redirected to the identified server.

Abstract: A method for warning a driver of a vehicle (1), in particular a truck, in turn maneuvers includes the following steps: generating (S1) an adaptive monitoring area (2) for the vehicle (1) based on at least a maximum lateral acceleration (4) of the vehicle (1) at a current longitudinal velocity (6) of the vehicle (1); identifying (S2) a vulnerable road user (VRU) (8) within the adaptive monitoring area (2); determining (S3, S4) a driver's intention to turn (40) the vehicle (1); determining S5) whether there is a collision risk between the vehicle (1) and the VRU (8); and outputting a warning signal (SW) based on the determined collision risk.

Abstract: Devices, computer-readable media, and methods for submitting a modified voice input to a service based upon a user intent determined from a voice input in accordance with a voice interface of the service are disclosed. A processing system including at least one processor may obtain a voice input of a user, determine an intent from the voice input, identify a first service, from among a plurality of services, in accordance with the intent, and formulate a first modified voice input from the voice input in accordance with a voice interface of the first service, where each of the services is associated with one of a plurality of different voice interfaces. The processing system may further submit the first modified voice input to the first service, obtain a first voice response from the first service, and present a voice output to the user in accordance with the first voice response.

Abstract: Concepts and technologies are disclosed herein for an application deployment engine. A processor that executes an application deployment engine can receive an application request. The processor can obtain network topology data that indicates availability of resources of a data center, an application template associated with the application, and a running time during which an application placement plan is to be identified out of a large number of placement scenarios within the running time. The application template can describe an application flow path associated with the application. The processor can identify the application placement plan, where the application placement plan can include an optimal placement of the application at the data center, before a given running time expires by pruning the large search space. The processor can generate a command to effect deployment of the application in accordance with the application placement plan.

Abstract: Virtual redundancy for active-standby cloud applications is disclosed herein. A virtual machine (“VM”) placement scheduling system is disclosed herein. The system can compute, for each standby VM of a plurality of available standby VMs, a minimum required placement overlap delta to meet an entitlement assurance rate (“EAR”) threshold. The system can compute a minimum number of available VM slots for activating each standby VM to meet the EAR threshold. For each standby VM of a given application, the system can filter out any server of a plurality of servers that does not meet criteria. If a given server meets the criteria, the system can add the given server to a candidate list; sort, in descending order, the candidate list by the minimum required placement overlap delta and the number of available virtual machine slots; and select, from the candidate list of servers, a candidate server from atop the candidate list.