Abstract:
In one embodiment, a device receives data regarding a plurality of heterogeneous computing environments. The received data comprises measured application metrics for applications executed in the computing environments and indications of processing capabilities of the computing environments. The device generates a training dataset by applying a machine learning-based classifier to the received data regarding the plurality of existing heterogeneous environments. The device trains a machine learning-based configuration engine using the training dataset. The device uses the configuration engine to generate configuration parameters for a particular heterogeneous computing environment based on one or more system requirements of the particular heterogeneous computing environment. The device provides the configuration parameters to the particular heterogeneous computing environment.
Abstract:
A ceiling support structure includes a plurality of network- and power-enabled rails that replace conventional structures for supporting a grid ceiling having a structure for supporting tiles and/or paneling. Each network-enabled rail comprises a plurality of connectors configured to receive a device or interface. At least some of the connectors can comprise a plurality of Power over Ethernet (PoE) connectors that provide both network connectivity and power to the devices. At least some of the connectors can comprise a plurality of fiber-optic cable connectors that provide network connectivity to the devices via the fiber-optic cable. In the fiber-optic cable connector structure, power is provided directly by the ceiling support itself which is formed of a conductive material and referred to as a power distribution bar. Each rail terminates at a hub referred to as a fog junction box that serves the power and networking for the ceiling support.
Abstract:
In one embodiment, a method includes receiving flight path data regarding the presence of an unmanned aerial vehicle (UAV) at a location at a future time, detecting the presence of the UAV at the location at the future time, determining radio identity data of the UAV using a radio mode of identification, determining optical identity data of the UAV using an optical mode of identification, and certifying the UAV based on a comparison of the radio identity data and the optical identity data to the flight path data.
Abstract:
Various implementations disclosed herein enable transforming mutable wireless coverage areas using network coverage vehicles (NVCs) that are orchestrated by a network coverage controller. In various implementations, the method includes receiving coverage area performance characterization values from NCVs configured to provide a plurality of mutable wireless coverage areas. In various implementations, an arrangement of the mutable wireless coverage areas mutably defines the service area, which changes in accordance with changes to the arrangement of the mutable wireless coverage areas. In various implementations, the method also includes determining NCV operation adjustments for some of the NCVs based on the received coverage area performance characterization values in accordance with a service performance metric; and, altering an arrangement of one or more of the plurality of mutable wireless coverage areas within the service area by providing the NCV operation adjustments to some of the NCVs.
Abstract:
In one embodiment, a method includes receiving flight path data regarding the presence of an unmanned aerial vehicle (UAV) at a location at a future time, detecting the presence of the UAV at the location at the future time, determining radio identity data of the UAV using a radio mode of identification, determining optical identity data of the UAV using an optical mode of identification, and certifying the UAV based on a comparison of the radio identity data and the optical identity data to the flight path data.
Abstract:
In one embodiment, a controller instructs an unmanned aerial vehicle (UAV) docked to a landing perch to perform a pre-flight test operation of a pre-flight test routine. The controller receives sensor data associated with the pre-flight test operation from one or more force sensors of the landing perch, in response to the UAV performing the pre-flight test operation. The controller determines whether the sensor data associated with the pre-flight test operation is within an acceptable range. The controller causes the UAV to launch from the landing perch based in part on a determination that UAV has passed the pre-flight test routine.
Abstract:
A trust relationship is established at a first network connected device between the first network connected device and a second network connected device. A communication session is established between the first network connected device and a third network connected device, wherein the third network connected device lacks a trust relationship with the second network connected device. A message is sent from the first network connected device to establish a communication session between the third network connected device and the second network connected device based on the trust relationship between the first network connected device and the second network connected device.
Abstract:
In one embodiment, a method comprises: establishing a first broadband data link between a first mobile narrowbeam transceiver positioned on a vehicle and a first fixed narrowbeam transceiver mounted along a prescribed path of the vehicle; and switching from the first broadband data link, by the first mobile narrowbeam transceiver, to a second broadband data link with a second fixed narrowbeam transceiver mounted along the prescribed path after the first fixed narrowbeam transceiver, enabling the vehicle to maintain continuous broadband access to a wide area network via a prescribed sequence of the fixed narrowbeam transceivers along the prescribed path.
Abstract:
A lighting control system is provided which accepts user lightning commands, generates controls in accordance with predetermined operating policies and directs light fixtures to produce brightness, color, or directional pattern of the light emitted by the light fixtures. The lighting control system determines whether the light emitted by the light fixtures complies with government regulations, and building policies, and insures that controls are adjusted such that all regulations regarding lighting safety and working conditions, as well as building policy and energy management targets are adhered to. In addition, a way to reconcile conflicting user requests for lighting settings is provided.
Abstract:
Techniques presented herein are directed to the coordinated network-based control of the color capabilities of multi-color fixtures. A network device is connected to multi-color light fixtures each comprising a local processor and a plurality of color light emitters. The network device receives data inputs from one or more data sources and uses the data inputs to identify a color informational display for presentation across a plurality of the multi-color light fixtures. The network device generates messages encoding light control settings for each of the plurality of multi-color light fixtures enabling each multi-color light fixture to present a spatial or temporal segment of the color informational display and sends the messages to the plurality of light fixtures. Execution of instructions embedded in the messages by the local processors results in the creation of the color informational display across the plurality of multi-color light fixtures