Abstract: Memory management for wireless networks is described. A method, includes accessing an operational parameter for a network slice of a wireless network, determining a first memory region of a plurality of memory regions in the memory pool based on the operational parameter, and encoding configuration information to allocate the first memory region to the network slice. Other embodiments are described and claimed.

Abstract: Various aspects of techniques, systems, and use cases include provide instructions for operating an autonomous mobile robot (AMR). A technique may include capturing audio or video data using a sensor of the AMR, performing a classification of the audio or video data using a trained classifier, and identifying a coordinate of an environmental map corresponding to a location of the audio or video data. The technique may include updating the environmental map to include the classification as metadata corresponding to the coordinate. The technique may include communicating the updated environmental map to an edge device.

Abstract: System and techniques for network flow-based hardware allocation are described herein. A workload for is obtained for execution. Here, the workload includes a flow that has a processing component and a network component. Then, during execution of the workload, the flow is repeatedly profiled and assigned a network service and a processing service during a next execution based on a network metric and a processing metric obtained from the profiling.

Abstract: In one embodiment, a road side unit (RSU) establishes a data offload session with a vehicle in the vicinity of the RSU based on a session establishment request sent by the vehicle, and stores data received from the vehicle during the data offload session in its memory. The RSU generates storage record information (including identifying information for the RSU) for the stored data, and transmits the storage record information to the vehicle.

Abstract: A compute system that includes an Internet of things (IoT) device is provided. The IoT device includes a common services interface (CSI) to create a self-managing network of devices with other nodes comprising the CSI.

Abstract: Apparatuses, storage media and methods associated with cognitive robot systems, such as ADAS for CAD vehicles, are disclosed herein. In some embodiments, an apparatus includes emotional circuitry to receive stimuli for a robot integrally having the robotic system, process the received stimuli to identify potential adversities, and output information describing the identified potential adversities; and thinking circuitry to receive the information describing the identified potential adversities, process the received information describing the identified potential adversities to determine respective fear levels for the identified potential adversities in view of a current context of the robot, and generate commands to the robot to respond to the identified potential adversities, based at least in part on the determined fear levels for the identified potential adversities. Other embodiments are also described and claimed.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for data collection balancing for sustainable storage. An example apparatus includes at least one memory, machine executable instructions, and processor circuitry to at least one of execute or instantiate the machine executable instructions to orchestrate resources in an edge environment based on data ingested from a data source, execute a machine learning model based on the data to generate outputs, the outputs including at least one of a first value representative of data criticality or a second value representative of data quality of the data, reduce resource requirements associated with the resources of the edge environment based on the outputs to effectuate green data management of the edge environment, and cause an operation at a node of the edge environment based on at least one of the data or the outputs, the node associated with the data.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for proactive data management and analytics. An example apparatus includes at least one memory, instructions, and processor circuitry to at least one of execute or instantiate the instructions to identify nodes in a network environment, identify ones of the nodes as data subscribers, ingest data from data sources, execute a machine learning model on the data to generate an output, and perform an action based on the output.

Abstract: A compute system that includes an Internet of things (IoT) device is provided. The IoT device includes a common services interface (CSI) to create a self-managing network of devices with other nodes comprising the CSI.

Abstract: A device for a vehicle may include a first wireline interface configured to receive a first data stream from a first sensor having a first sensor type for perceiving a surrounding of the vehicle, the first data stream including raw sensor data detected by the first sensor; a second wireline interface configured to receive a second data stream from a second sensor having a second sensor type for perceiving the surrounding of the vehicle, the second data stream including raw sensor data detected by the second sensor; one or more processors configured to generate a coded packet including the received first data stream and the received second data stream by employing vector packet coding on the first data stream and the second data stream; and an output wireline interface configured to transmit the generated coded packet to one or more target units of the vehicle.

Abstract: The subject matter described herein presents various technical solutions for the technical problems facing autonomous vehicles (e.g., fully autonomous and semi-autonomous vehicles). To address technical problems facing wireless communication cost and latency, a heterogeneous roadside infrastructure can be used to improve the ability for a vehicle to communicate with a data source. To address technical problems facing interruption of vehicle services due to an abrupt loss of connection, a quality of service system provides the ability to determine and share quality of service information, such as location-based information, maps, interference data, and other quality of service information. To address technical problems facing high volume data upload and download between autonomous vehicles and cloud-based data services, optical wireless communication (OWC) provides increased data throughput and reduced complexity and may be beneficial for short-range high-mobility wireless communications.

Abstract: Systems and techniques for selective transport of spatially partitioned immersive media content are described herein. In an example, the system may negotiate an attribute for media content between a media producer and a media consumer. A content structure for the media content may be determined based on the negotiation of the attribute, and a network packet may be created with information corresponding to the determined content structure encoded into a transport protocol header of the network packet. The network packet may be filtered to produce filtered media content. The filtered media content may be transmitted to the media consumer.

Abstract: The subject matter described herein presents various technical solutions for the technical problems facing autonomous vehicles (e.g., fully autonomous and semi-autonomous vehicles). To address technical problems facing wireless communication cost and latency, a heterogeneous roadside infrastructure can be used to improve the ability for a vehicle to communicate with a data source. To address technical problems facing interruption of vehicle services due to an abrupt loss of connection, a quality of service system provides the ability to determine and share quality of service information, such as location-based information, maps, interference data, and other quality of service information. To address technical problems facing high volume data upload and download between autonomous vehicles and cloud-based data services, optical wireless communication (OWC) provides increased data throughput and reduced complexity, and may be beneficial for short-range high-mobility wireless communications.

Abstract: The present disclosure is related to edge and cloud computing frameworks, telemetry and telemetering systems, telemetry awareness and intelligence in managing telemetering systems, and Radio Access Network (RAN) and RAN intelligent controller (RIC) implementations. In particular, the present disclosure provides RIC-based resource management for individual RIC applications, which is based on the collection and analysis of platform telemetry data as well as measurements collected by user equipment and access network infrastructure elements.

Abstract: Disclosed embodiments relate to an orchestrator and arbitrator in an Internet of Things (IoT) platform. In one example, a method of servicing a plurality of data flows of a plurality of wireless devices using a plurality of protocols includes: monitoring one or more interfaces that communicate using the plurality of protocols, activating a first interface upon detecting a demand to exchange data thereon, wherein a connectivity manager performs the monitoring, and activating, extracting, by a packet analyzer, packet metadata from one or more of the plurality of data flows, determining latency encountered and bandwidth utilized by the one or more data flows based on the packet metadata, applying, by an adaptive connectivity manager (ACM), a latency reduction strategy to attempt to comply with latency criteria, and applying, by a bandwidth utilization manager (BUM), a bandwidth reduction strategy to attempt to comply with bandwidth criteria.

Abstract: Technologies for managing interoperable high definition (HD) maps for autonomous vehicles includes a HD map server to distribute interoperable HD map tiles to various autonomous vehicles, each of which may be configured to utilize proprietary HD map tiles of different propriety formats. As such, each of the autonomous vehicles is configured to translate the interoperable HD map tile to the proprietary format used by that particular vehicle. Additionally, each autonomous vehicle may submit crowd-sourced sensor data to the interoperable HD map server using a universal data set by converting the sensor data to a universal data structure.

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed to manage network slices. An example apparatus includes interface circuitry to acquire network information, machine-readable instructions, and at least one processor circuit to be programmed by the machine-readable instructions to reserve first network slices to satisfy service level objectives (SLOs) corresponding to first nodes, reserve second network slices to satisfy SLOs corresponding to second nodes, and reconfigure the first network slices to accept network communications from the second nodes when the network communications from the second nodes exceed a performance metric threshold.

Abstract: A computing node in an edge computing network includes a network interface card (NIC), memory storing a plurality of digital object representations of a corresponding plurality of participating entities, and processing circuitry. The processing circuitry detects a message from a participating entity of the plurality. The message is received via the NIC and is associated with a messaging service of the edge computing network. The message is mapped to a service class of a plurality of available service classes based on a service request associated with the message. The message is processed to extract one or more characteristics of the service request. A digital object representation of the plurality of digital object representations is updated based on the one or more characteristics of the service request, the digital object representation corresponding to the participating entity.

Abstract: In one embodiment, an apparatus comprises circuitry, wherein the circuitry is configured to: receive, via a communications network, context information for a first set of one or more edge devices, wherein the context information identifies an operating environment of the first set of edge devices based on information from one or more sensors; receive, via the communications network, workload information for a second set of one or more edge devices; determine workload assignments for the first set of edge devices based on the context information for the first set of edge devices and based on the workload information for the second set of edge devices; and transmit, via the communications network, the workload assignments to the first set of edge devices.

Abstract: Apparatuses, storage media and methods associated with computer assisted driving (CAD), are disclosed herein. In some embodiments, an apparatus includes an autopilot engine to automatically pilot the vehicle out of a potential emergency situation, including to automatically pilot the vehicle for a period of time in view of a plurality of operational guardrails determined in real time for each of a plurality of timing windows; and a mitigation unit to conditionally activate the autopilot engine, including to activate the autopilot engine in response to analysis results indicative of the vehicle being potentially operated into the emergency situation manually. Other embodiments are also described and claimed.