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 systems and methods for implementing end-to-end quality of service (QoS) for network communications are provided using various network and compute technologies. In an example, managing Quality of Service (QoS) for end-to-end network data flows, includes: identifying QoS characteristics for data flows of a user equipment (UE), for data flows performed via multiple access networks; mapping the QoS characteristics to network functions of at least one of the multiple access networks; and controlling the network functions of the at least one of the multiple access networks, based on the QoS characteristics, as the network functions are implemented at respective resources located within at least one of the multiple access networks. Further examples for controlling the network functions using Access Traffic Steering, Switching and Splitting (ATSSS) functionality in an 3GPP multi-access network, and configuring a network exposure function of an 3GPP multi-access network, are also disclosed.

Abstract: A computing apparatus, including: a hardware platform; and an interworking broker function (IBF) hosted on the hardware platform, the IBF including a translation driver (TD) associated with a legacy network appliance lacking native interoperability with an orchestrator, the IBF configured to: receive from the orchestrator a network function provisioning or configuration command for the legacy network appliance; operate the TD to translate the command to a format consumable by the legacy network appliance; and forward the command to the legacy network appliance.

Abstract: A computing apparatus, including: a hardware platform; and an interworking broker function (IBF) hosted on the hardware platform, the IBF including a translation driver (TD) associated with a legacy network appliance lacking native interoperability with an orchestrator, the IBF configured to: receive from the orchestrator a network function provisioning or configuration command for the legacy network appliance; operate the TD to translate the command to a format consumable by the legacy network appliance; and forward the command to the legacy network appliance.

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: This disclosure is directed to system to monitor and control data flow in a network. At least one device in a core network may be responsible for charging functions related to the data requests. During certain high usage scenarios (e.g., emergencies, special events, etc.), it may be possible for the charging system to be overwhelmed. For example, a policing system may be implemented in the core network to at least manage the flow of requests to the charging system. The policing system may monitor and control request flow to the charging system based on at least one policy. When a request is determined to violate a policy, the policing system may take corrective action to prevent the charging system from being overwhelmed. For example, the policing system may block the request, divert the request to another charging system that may have available capacity, etc.

Abstract: There is disclosed a computing apparatus, including: a memory; a memory encryption controller to encrypt at least a region of the memory; and a network interface to communicatively couple the computing apparatus to a remote host; wherein the memory encryption controller is configured to send an encrypted packet decryptable via an encryption key directly from the memory to the remote host via the network interface, bypassing a network protocol stack.

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: Methods, apparatus, systems and machine-readable storage media of an edge computing device using an edge server CPU with dynamic deterministic scaling is disclosed. A processing circuitry arrangement includes processing circuitry with processor cores operating at a center base frequency and memory. The memory includes instructions configuring the processing circuitry to configure a first set of the processor cores of the CPU to switch the operating at the center base frequency to operating at a first modified base frequency, and a second set of the processor cores to switch the operating at the center base frequency to operating at a second modified base frequency. A same processor core within the first set or the second set can be configured to switch operating between the first modified base frequency or the second modified base frequency.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to auto tune data center cooling based on workloads. Disclosed herein is an apparatus including processor circuitry to determine environmental conditions setpoint(s) based on at least one of a future workload status or a current workload status of devices within a data center.

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: Aspects of data re-direction are described, which can include software-defined networking (SDN) data re-direction operations. Some aspects include data re-direction operations performed by one or more virtualized network functions. In some aspects, a network router decodes an indication of a handover of a user equipment (UE) from a first end point (EP) to a second EP, based on the indication, the router can update a relocation table including the UE identifier, an identifier of the first EP, and an identifier of the second EP. The router can receive a data packet for the UE, configured for transmission to the first EP, and modify the data packet, based on the relocation table, for rerouting to the second EP. In some aspects, the router can decode handover prediction information, including an indication of a predicted future geographic location of the UE, and update the relocation table based on the handover prediction information.

Abstract: A computing apparatus, including: a hardware platform; and an interworking broker function (IBF) hosted on the hardware platform, the IBF including a translation driver (TD) associated with a legacy network appliance lacking native interoperability with an orchestrator, the IBF configured to: receive from the orchestrator a network function provisioning or configuration command for the legacy network appliance; operate the TD to translate the command to a format consumable by the legacy network appliance; and forward the command to the legacy network appliance.

Abstract: The present disclosure is related to power control mechanisms for workload processing systems, and in particular, multi-scale power control technologies that can be used to reduce the overhead of workload processing systems. The disclosed power control mechanisms operate on multiple timescales including a slow timescale and a fast timescale. Separate control loops (or governors) are used for the slow and fast timescales where each control loop includes its own trigger mechanisms and configurable operational policies. The operational policies for slow timescale control loop can be trained separately using various machine learning techniques while the operational policies for the fast timescale control loop can be simple and reactive heuristics.

Abstract: A computing apparatus, including: a hardware platform; and an interworking broker function (IBF) hosted on the hardware platform, the IBF including a translation driver (TD) associated with a legacy network appliance lacking native interoperability with an orchestrator, the IBF configured to: receive from the orchestrator a network function provisioning or configuration command for the legacy network appliance; operate the TD to translate the command to a format consumable by the legacy network appliance; and forward the command to the legacy network appliance.

Abstract: This disclosure is directed to system to monitor and control data flow in a network. At least one device in a core network may be responsible for charging functions related to the data requests. During certain high usage scenarios (e.g., emergencies, special events, etc.), it may be possible for the charging system to be overwhelmed. For example, a policing system may be implemented in the core network to at least manage the flow of requests to the charging system. The policing system may monitor and control request flow to the charging system based on at least one policy. When a request is determined to violate a policy, the policing system may take corrective action to prevent the charging system from being overwhelmed. For example, the policing system may block the request, divert the request to another charging system that may have available capacity, etc.

Abstract: Methods, systems, and computer programs are presented for managing resources to deliver a network service in a distributed configuration. A method includes an operation for identifying resources for delivering a network service, the resources being classified by geographic area. Further, the method includes operations for selecting service agents to configure the identified resources, each service agent to manage service pools for delivering the network service across at least one geographic area, the service agents being selected to provide configurability for the service pools. The method further includes operations for sending configuration rules, to the service agents, configured to establish service pools for delivering the network service across the geographic areas. Service traffic information is collected from the service agents, and the resources are adjusted based on the collected service traffic information.

Abstract: Various systems and methods for implementing intent-driven power management are described herein. A system includes: a power monitoring unit to collect real-time telemetry of a processor on a compute node; and a power level controller to: receive a power intent for execution of an application on the compute node; configure a power level of the processor of the compute node based on the power intent, the processor to execute the application; set an initial execution priority of the application on the compute node based on the power intent; and modify the initial execution priority based on the power intent and the real-time telemetry of the compute node.

Abstract: In an example, there is disclosed a demand scaling engine, including: a processor interface to communicatively couple to a processor; a network controller interface to communicatively couple to a network controller and to receive network demand data; a scaleup criterion; a current processor frequency scale datum; and logic, provided at least partly in hardware, to: receive the network demand data; compare the network demand data to the scaleup criterion; determine that the network demand data exceeds the scaleup criterion; and instruct the processor via the processor interface to scaleup processor frequency.

Abstract: Aspects of data re-direction are described, which can include software-defined networking (SDN) data re-direction operations. Some aspects include data re-direction operations performed by one or more virtualized network functions. In some aspects, a network router decodes an indication of a handover of a user equipment (UE) from a first end point (EP) to a second EP, based on the indication, the router can update a relocation table including the UE identifier, an identifier of the first EP, and an identifier of the second EP. The router can receive a data packet for the UE, configured for transmission to the first EP, and modify the data packet, based on the relocation table, for rerouting to the second EP. In some aspects, the router can decode handover prediction information, including an indication of a predicted future geographic location of the UE, and update the relocation table based on the handover prediction information.