Abstract: Systems and techniques for information centric network (ICN) interworking are described herein. For example, a request may be received at a convergence layer of a node. Here, the request originates from an application on the node. A network protocol, from several available to the node, may be determined to transmit the request. The node then transmits the request via the selected network protocol.

Abstract: System and techniques for capability discovery in an information centric network (ICN) are described herein. An ICN node receives a discovery packet that includes a discovery type corresponding to an indication of a node capability requested by a source node of the discovery packet. First capability data, from an intermediate node, is extracted from the discovery packet. The first capability data is stored locally by ICN node. Second capability data from the ICN node is added to the discovery packet to create an expanded discovery packet. The expanded discovery packet is then communicated by the ICN node.

Abstract: A circuit arrangement includes a preprocessing circuit configured to obtain context information related to a user location, a learning circuit configured to determine a predicted user movement based on context information related to a user location to obtain a predicted route and to determine predicted radio conditions along the predicted route, and a decision circuit configured to, based on the predicted radio conditions, identify one or more first areas expected to have a first type of radio conditions and one or more second areas expected to have a second type of radio conditions different from the first type of radio conditions and to control radio activity while traveling on the predicted route according to the one or more first areas and the one or more second areas.

Abstract: System and techniques for device-specific connections in an information centric network (ICN) are described herein. A device is detected on a physical interface at an ICN node. A virtual interface is created for the device on the physical interface and the virtual device is added to a forward information base (FIB) entry. Then, when an interest packet with a name that corresponds to the device is received, the interest packet is forwarded to the device through the physical interface using the virtual interface based on the FIB entry.

Abstract: Various embodiments to enable Spectrum Access System (SAS) interference mitigation options are disclosed herein. In one embodiment, an apparatus is provided. The apparatus includes a memory to store a data sequence, and one or more processing devices coupled to the memory. The processing devices to generate an interference metric associated with a first group and a second group of infrastructure nodes of a Long-Term Evolution (LTE) network infrastructure based on measurement information. The measurement information comprises measurements related to the transmission of data sequences associated with the first group and the second group. Thereupon, configuration settings are determined for infrastructure nodes of the first group and second group based on the generated interference metric. Each configuration setting represents a frequency band and transmission power level for a corresponding infrastructure node to access data in the LTE network infrastructure.

Abstract: System and techniques for orchestrating a service with an interest packet in information centric networking are described herein. The interest packet includes a compound name that includes multiple ICN name components, and the interest packet includes a field with a list of ICN components. A device, after receiving the interest packet, locates an ICN name component from the multiple ICN name components that is represented in the list of ICN components. The device may then select an interface from multiple interfaces available to the device, the selection based on the ICN name component. The device may then transmit the interest packet via the interface.

Abstract: A wireless communication device includes a processor configured to select an offload processing task for performance by an edge computing device; cause a baseband modem to establish a direct wireless connection between the wireless communication device and the edge computing device; cause the baseband modem to send first data to the edge computing device via the direct wireless connection; and receive second data from the edge computing device, wherein the second data comprise a result of the offload processing task performed on the first data. The edge computing device includes a processor configured to receive, from a user device, offloaded data to be processed according to an offload processing task; execute the offload processing task on the offloaded data; and cause the radio via the interface to wirelessly send a result of the executed offload processing task via a direct wireless connection with the user device.

Abstract: Systems and methods for dynamic compute orchestration include receiving, at a network node of an information centric network, a first interest packet comprising a name field indicating a named function and one or more constraints specifying compute requirements for a computing node to execute the named function, the first interest packet received from a client node. A plurality of computing nodes are identified that satisfy the compute requirements for executing the named function. The first interest packet is forwarded to at least some of the plurality of computing nodes. Data packets are received from at least some of the plurality of computing nodes in response to the first interest packet. One of the plurality of computing nodes is selected based on the received data packets, and a second interest packet is sent to the selected one of the plurality of computing nodes instructing the selected one of the plurality of compute nodes to execute the named function.

Abstract: A device may include a processor that includes a named data network (NDN) forwarding daemon (NFD) module. The NFD module may be configured to identify an accelerator on which to configure an offloaded NFD module based on a configuration table indicating a current configuration of the accelerator. The NFD module may be configured to configure the offloaded NFD module on the identified accelerator. The NFD module may be configured to receive an interest packet that includes a workload request. The interest packet may be configured according to an NDN protocol. The NFD module may be configured to determine that the offloaded NFD module is configured to perform the workload request using the identified accelerator based on the configuration table. The NFD module may be configured to offload, via an application programming interface, the workload request to the offloaded NFD module to perform the workload request using the identified accelerator.

Abstract: A device may include a processor. The processor may sample a portion of a workload to offload to compute resources and a portion of a current workload of the compute resources. The processor may simulate offloading of the workload to the compute resources using the sampled portion of the workload, the sampled portion of the current workload, and telemetry data corresponding to the compute resources. The compute resources may be configured to perform the workload according to a plurality of offloading configurations. The processor may determine a rank score for each offloading configuration of the plurality of offloading configurations based on the simulations. Responsive to a rank score corresponding to an offloading configuration of the plurality of offloading configurations exceeding a threshold value, the processor may offload the workload to the compute resource corresponding to the offloading configuration that corresponds to the rank score that exceeds the threshold value.

Abstract: Systems and methods of using machine-learning to improve communications across different networks are described. A CIRN node identifies whether it is within range of a source and destination node in a different network using explicit information or a machine-learning classification model. A neural network is trained to avoid interference using rewards associated with reduced interference or retransmission levels in each network or improved throughput at the CIRN node. A machine-learning scheduling algorithm determines a relay mode of the CIRN node for source and destination node transmissions. The scheduling algorithm is based on the probability of successful transmission between the source and destination nodes multiplied by a collaboration score for successful transmission and the probability of unsuccessful transmission of the particular packet multiplied by a collaboration score for unsuccessful transmission.

Abstract: Systems and techniques for dynamic computation in an information centric network (ICN) are described herein. An interest packet to perform a computation may be received at a first interface of an ICN node. The ICN node may then perform a lookup in a forwarding information base (FIB) to identify a second interface to forward the interest packet. The interest packet may be forwarded on the second interface. Upon receipt of a data packet on the second interface in response to the interest packet, the ICN node may update an entry in the FIB for the second interfaces with a processing payload included in the data packet. The ICN node may then transmit the data packet downstream towards the originator of the interest packet.

Abstract: Various approaches for the integration and use of edge computing operations in satellite communication environments are discussed herein. For example, connectivity and computing approaches are discussed with reference to: identifying satellite coverage and compute operations available in low earth orbit (LEO) satellites, establishing connection streams via LEO satellite networks, identifying and implementing geofences for LEO satellites, coordinating and planning data transfers across ephemeral satellite connected devices, service orchestration via LEO satellites based on data cost, handover of compute and data operations in LEO satellite networks, and managing packet processing, among other aspects.

Abstract: A circuit arrangement includes a preprocessing circuit configured to obtain context information related to a user location, a learning circuit configured to determine a predicted user movement based on context information related to a user location to obtain a predicted route and to determine predicted radio conditions along the predicted route, and a decision circuit configured to, based on the predicted radio conditions, identify one or more first areas expected to have a first type of radio conditions and one or more second areas expected to have a second type of radio conditions different from the first type of radio conditions and to control radio activity while traveling on the predicted route according to the one or more first areas and the one or more second areas.

Abstract: Various approaches for service mech switching, including the use of infrastructure processing units (IPUs) and similar networked processing units, are disclosed. For example, a packet that includes a service request for a service may be received at a networking infrastructure device. The service may include an application that spans multiple nodes in a network. An outbound interface of the networking infrastructure device may be selected through which to route the packet. The selection of the outbound interface may be based on a service component of the service request in the packet and network metrics that correspond to the service. The packet may then be transmitted using the outbound interface.

Abstract: A circuit arrangement includes a preprocessing circuit configured to obtain context information related to a user location, a learning circuit configured to determine a predicted user movement based on context information related to a user location to obtain a predicted route and to determine predicted radio conditions along the predicted route, and a decision circuit configured to, based on the predicted radio conditions, identify one or more first areas expected to have a first type of radio conditions and one or more second areas expected to have a second type of radio conditions different from the first type of radio conditions and to control radio activity while traveling on the predicted route according to the one or more first areas and the one or more second areas.

Abstract: Systems and methods for managing distributed compute resources are described herein. A system is configured to receive, from an agent operating at a first compute domain of a plurality of compute domains, a request for compute resources; broadcast the request for compute resources to respective agents at the plurality of compute domains; receive a plurality of offers for available compute resources from at least a portion of the plurality of compute domains; transmit, to a selected agent at a selected compute domain of the plurality of compute domains, a commit message to reserve compute resources of the selected compute domain associated with a selected offer of the plurality of offers; and transmit an indication of the commit message to the agent at the first compute domain, wherein the first compute domain is to use the compute resources reserved at the selected compute domain for workloads of the first compute domain.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to manage a self-adaptive heterogeneous emergency network. An example apparatus to establish recovery nodes includes failure detection circuitry to determine a node initiated a reset procedure, override circuitry to suppress a native recovery procedure of the node, formation circuitry to initiate a heterogeneous recovery procedure, and trust circuitry to measure a root of trust of the node. Further, the example apparatus instantiates the formation circuitry further to broadcast heterogeneous recovery packets, and activate listener ports for responses to the heterogeneous recovery packets.

Abstract: Systems and techniques for service roaming between edge computing platforms are described herein. A service executing on a first edge computing platform may be identified to be migrated to a second edge computing platform. A first service component may be determined that is being executed by the first edge computing platform. Transmission of the service to the second edge platform may be initiated to execute a second service component for execution of the service.

Abstract: An apparatus and a method for allocating wireless channels are disclosed. For example, the method, by an aggregator, aggregates sensed information received from a plurality of sensing devices, by an analyzer, analyzes the sensed information that is aggregated and determines when an incumbent is not detected based on the analysis, and allocates, by a channel allocator, a wireless channel of the targeted frequency spectrum to a user equipment when the incumbent is not detected.