Abstract: Systems and methods may be used to determine where to run a service based on workload-based conditions or system-level conditions. An example method may include determining whether power available to a resource of a compute device satisfies a target power, for example to satisfy a target performance for a workload. When the power available is insufficient, an additional resource may be provided, for example on a remote device from the compute device. The additional resource may be used as a replacement for the resource of the compute device or to augment the resource of the compute device.

Abstract: Examples include techniques to manage cache resource allocations associated with one or more cache class of service (CLOS) assignments for a processor cache. Examples include flushing portions of an allocated cache resource responsive to reassignments of CLOS.

Abstract: Examples described herein relate to an apparatus that includes a memory and at least one processor where the at least one processor is to receive configuration to gather performance data for a function from one or more platforms and during execution of the function, collect performance data for the function and store the performance data after termination of execution of the function. Some examples include an interface coupled to the at least one processor and the interface is to receive one or more of: an identifier of a function, resources to be tracked as part of function execution, list of devices to be tracked as part of function execution, type of monitoring of function execution, or meta-data to identify when the function is complete. Performance data can be accessed to determine performance of multiple executions of the short-lived function.

Abstract: A method for monitoring health of processes includes a compute device having a performance monitoring parameter manager and an analytics engine. The compute device accesses performance monitoring parameters associated with a monitored process of the compute device. The compute device samples one or more hardware counters associated with the monitored process and applies a performance monitor filter to the sampled one or more hardware counters to generate hardware counter values. The compute device performs a process fault check on the monitored process based on the hardware counter values and the performance monitoring parameters.

Abstract: Methods and apparatus for scale out hardware-assisted tracing schemes for distributed and scale-out applications. In connection with execution of one or more applications using a distributed processing environment including multiple compute nodes, telemetry and tracing data are obtained using hardware-based logic on the compute nodes. Processes associated with applications are identified, as well as the compute nodes on which instances of the processes are executed. Process instances are associated with process application space identifiers (PASIDs), while processes used for an application are associating with a global group identifier (GGID) that serves as an application ID. The PASIDs and GGIDs are used to store telemetry and/or tracing data on the compute nodes and/or forward such data to a tracing server in a manner that enables telemetry and/or tracing data to be aggregated on an application basis.

Abstract: Systems, apparatuses and methods may provide for generating, in response to a decrease in trustworthiness with respect to a controller, a notification message and generating a message authentication code (MAC) based on the notification message and one or more locally stored keys. Additionally, the notification message and the MAC may be sent to the controller, wherein the notification message is directed to one or more peers in a network associated with the controller. In one example, the notification message includes one or more of an indication that the controller is compromised or an indication that the controller is suspected to be compromised.

Abstract: There is disclosed in one example a computing apparatus, including: a local platform including a hardware platform; a management interface to communicatively couple the local platform to a management controller; a virtualization infrastructure to operate on the hardware platform and to provide a local virtualized function; and a resiliency controller to operate on the hardware platform, and configured to: receive a resiliency policy from the management controller via the management interface, the resiliency policy including information to handle a fault in the virtualized function; detect a fault in the local virtualized function; and effect a resiliency action responsive to detecting the fault.

Abstract: Systems and techniques for end-to-end quality of service in edge computing environments are described herein. A set of telemetry measurements may be obtained for an ongoing dataflow between a device and a node of an edge computing system. A current key performance indicator (KPI) may be calculated for the ongoing dataflow. The current KPI may be compared to a target KPI to determine an urgency value. A set of resource quality metrics may be collected for resources of the network. The set of resource quality metrics may be evaluated with a resource adjustment model to determine available resource adjustments. A resource adjustment may be selected from the available resource adjustments based on an expected minimization of the urgency value. Delivery of the ongoing dataflow may be modified using the selected resource adjustment.

Abstract: Various approaches for deployment and use of configurable edge computing platforms are described. In an edge computing system, an edge computing device includes hardware resources that can be composed from a configuration of chiplets, as the chiplets are disaggregated for selective use and deployment (for compute, acceleration, memory, storage, or other resources). In an example, configuration operations are performed to: identify a condition for use of the hardware resource, based on an edge computing workload received at the edge computing device; obtain, determine, or identify properties of a configuration for the hardware resource that are available to be implemented with the chiplets, with the configuration enabling the hardware resource to satisfy the condition for use of the hardware resource; and compose the chiplets into the configuration, according to the properties of the configuration, to enable the use of the hardware resource for the edge computing workload.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to aggregate telemetry data in an edge environment. An example apparatus includes at least one processor, and memory including instructions that, when executed, cause the at least one processor to at least generate a composition for an edge service in the edge environment, the composition representative of a first interface to obtain the telemetry data, the telemetry data associated with resources of the edge service and including a performance metric, generate a resource object based on the performance metric, generate a telemetry object based on the performance metric, and generate a telemetry executable based on the composition, the composition including at least one of the resource object or the telemetry object, the telemetry executable to generate the telemetry data in response to the edge service executing a computing task distributed to the edge service based on the telemetry data.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to manage telemetry data in an edge environment. An example apparatus includes a publisher included in a first edge platform to publish a wish list obtained from a consumer, the wish list including tasks to execute, a commitment determiner to determine whether a commitment is viable to execute at least one of the tasks in the wish list, the commitment to be processed to identify the telemetry data, and a communication interface to establish a communication channel to facilitate transmission of the telemetry data from the first edge platform to a second edge platform.

Abstract: Various approaches for implementing multi-tenant data protection are described. In an edge computing system deployment, a system includes memory and processing circuitry coupled to the memory. The processing circuitry is configured to obtain a workflow execution plan that includes workload metadata defining a plurality of workloads associated with a plurality of edge service instances executing respectively on one or more edge computing devices. The workload metadata is translated to obtain workload configuration information for the plurality of workloads. The workload configuration information identifies a plurality of memory access configurations and service authorizations identifying at least one edge service instance authorized to access one or more of the memory access configurations. The memory is partitioned into a plurality of shared memory regions using the memory access configurations.

Abstract: Systems and techniques for adaptive dataflow transformation in edge computing environments are described herein. A transformation compatibility indication may be received from a device. A set of transformations available for use by the device connected to the network may be determined based on the transformation compatibility indicator. The set of transformations may be transmitted to the device. A value may be determined for an operating metric for an edge computing node of the network. The edge computing node may provide a service to the device via the network. A transformation request may be transmitted to the device based on the value. The transformation request may cause the device to execute a transformation of the set of transformations to transform a dataflow of the service. The adaptive dataflow transformations may be continuous with changing predicted values of operating metrics.

Abstract: Examples described herein relate to configuring an interrupt controller to gather zero or more interrupts of a first type and provide the zero or more interrupts of the first type to a first core after a threshold amount of time has elapsed. The interrupt controller is configured to transfer interrupts of a second type to a second core that executes at least one network protocol processing-related task. However, in some examples, the first core can perform any network protocol processing-related task. The first type of interrupts can be associated with faults that are correctable by an interrupt issuer or its delegate. The first core can be configured to perform a corrective action and acknowledge receipt of the group of interrupts or to merely acknowledge receipt of the group of interrupts but not perform a corrective action.

Abstract: A method for monitoring health of processes includes a compute device having a performance monitoring parameter manager and an analytics engine. The compute device accesses performance monitoring parameters associated with a monitored process of the compute device. The compute device samples one or more hardware counters associated with the monitored process and applies a performance monitor filter to the sampled one or more hardware counters to generate hardware counter values. The compute device performs a process fault check on the monitored process based on the hardware counter values and the performance monitoring parameters.

Abstract: Technologies for providing multi-tenant support in edge resources using edge channels include a device that includes circuitry to obtain a message associated with a service provided at the edge of a network. Additionally, the circuitry is to identify an edge channel based on metadata associated with the message. The edge channel has a predefined amount of resource capacity allocated to the edge channel to process the message. Further, the circuitry is to determine the predefined amount of resource capacity allocated to the edge channel and process the message using the allocated resource capacity for the identified edge channel.

Abstract: Methods, apparatus, systems and machine-readable storage media of an edge computing device which is enabled to access and select the use of local or remote acceleration resources for edge computing processing is disclosed. In an example, an edge computing device obtains first telemetry information that indicates availability of local acceleration circuitry to execute a function, and obtains second telemetry that indicates availability of a remote acceleration function to execute the function. An estimated time (and cost or other identifiable or estimateable considerations) to execute the function at the respective location is identified. The use of the local acceleration circuitry or the remote acceleration resource is selected based on the estimated time and other appropriate factors in relation to a service level agreement.

Abstract: There is disclosed in one example a communication apparatus, including: a telemetry interface; a management interface; and an edge gateway configured to: identify diverted traffic, wherein the diverted traffic includes traffic to be serviced by an edge microcloud configured to provide a plurality of services; receive telemetry via the telemetry interface; use the telemetry to anticipate a future per-service demand within the edge microcloud; compute a scale for a resource to meet the future per-service demand; and operate the management interface to instruct the edge microcloud to perform the scale before the future per-service demand occurs.

Abstract: There is disclosed in one example a computing apparatus, including: a local platform including a hardware platform; a management interface to communicatively couple the local platform to a management controller; a virtualization infrastructure to operate on the hardware platform and to provide a local virtualized function; and a resiliency controller to operate on the hardware platform, and configured to: receive a resiliency policy from the management controller via the management interface, the resiliency policy including information to handle a fault in the virtualized function; detect a fault in the local virtualized function; and effect a resiliency action responsive to detecting the fault.

Abstract: Technologies for providing efficient data access in an edge infrastructure include a compute device comprising circuitry configured to identify pools of resources that are usable to access data at an edge location. The circuitry is also configured to receive a request to execute a function at an edge location. The request identifies a data access performance target for the function. The circuitry is also configured to map, based on a data access performance of each pool and the data access performance target of the function, the function to a set of the pools to satisfy the data access performance target.