Abstract: Embodiments described herein are generally directed to intelligent management of microservices failover. In an example, responsive to an uncorrectable hardware error associated with a processing resource of a platform on which a task of a service is being performed by a primary microservice, a failover trigger is received by a failover service. A secondary microservice is identified by the failover service that is operating in lockstep mode with the primary microservice. The secondary microservice is caused by the failover service to takeover performance of the task in non-lockstep mode based on failover metadata persisted by the primary microservice. The primary microservice is caused by the failover service to be taken offline.

Abstract: Technologies for providing dynamic selection of edge and local accelerator resources includes a device having circuitry to identify a function of an application to be accelerated, determine one or more properties of an accelerator resource available at the edge of a network where the device is located, and determine one or more properties of an accelerator resource available in the device. Additionally, the circuitry is to determine a set of acceleration selection factors associated with the function, wherein the acceleration factors are indicative of one or more objectives to be satisfied in the acceleration of the function. Further, the circuitry is to select, as a function of the one or more properties of the accelerator resource available at the edge, the one or more properties of the accelerator resource available in the device, and the acceleration selection factors, one or more of the accelerator resources to accelerate the function.

Abstract: A method is described. The method includes receiving a request. The method includes allocating and/or configuring hardware to execute the request in accordance with an energy related input specified by a sender of the request. The method includes causing execution of the request in accordance with the energy related input.

Abstract: Examples described herein relate to a network interface device. In some examples, the network interface device includes a network interface, a direct memory access (DMA) circuitry, a host interface, memory, one or more processors, and circuitry to: based on a configuration of operation specifying a standalone operation, cause the network interface device to operate in standalone to execute one or more applications and based on a configuration of operation specifying a companion operation, cause the network interface device to operate in companion to provide at least one host system with access to one or more hardware resources accessible by the network interface device.

Abstract: Various examples relate to apparatuses, devices, methods and computer programs for a group leader and a group member of a group of nodes of a blockchain network. The apparatus for the group leader comprises interface circuitry, machine-readable instructions, and processor circuitry to execute the machine-readable instructions to manage a membership of nodes of the blockchain network in the group of nodes, perform or delegate blockchain-related computational activity on behalf of the group of nodes according to an energy criterion.

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: Examples described herein relate to receiving a configuration, wherein the configuration is to specify a first level of renewable energy utilized by one or more devices based on telemetry, wherein the telemetry comprises a level of renewable energy supplied to the one or more devices. Based on a second level of available supplied renewable energy, a portion of the first level of available supplied renewable energy can be allocated to one or more devices to perform the process. Based on a third level of available supplied renewable energy, increase renewable energy allocated to the one or more devices, to perform the process, to above the first level.

Abstract: An apparatus to facilitate at-scale telemetry using interactive matrix for deterministic microservices performance is disclosed. The apparatus includes one or more processors to: receive user input comprising an objective or task corresponding to scheduling a microservice for a service, wherein the objective or task may include QoS, SLO, ML feedback; identify interaction matrix components in an interaction matrix that match the objective or tasks for the microservice; identify knowledgebase components in knowledgebase that match the objective or tasks for the microservice; and determine a scheduling operation for the microservice, the scheduling operation to deploy the microservice in a configuration that is in accordance with the objective or task, wherein the configuration comprises a set of hardware devices and microservice interaction points determined based on the interaction matrix components and the knowledgebase components.

Abstract: A named function network (NFN) system includes a routing node, a function generation node, and a server node. The routing node receives requests for new functions, the requests including data values for generating the new functions. The function generation node receives the data values from the routing node and generates a new function for the NFN using the data values. The server node receives a request from the routing node to execute the new function, executes the new function, and transmits results of the execution to the routing node.

Abstract: Embodiments may be generally directed to techniques to cause communication of a registration request between a first end-point and a second end-point of an end-to-end path, the registration request to establish resource load monitoring for one or more resources of the end-to-end path, receive one or more acknowledgements indicating resource loads for each of the one or more resources of the end-to-end path, at least one of the acknowledgements to indicate a resource of the one or more resources is not meeting a threshold requirement for the end-to-end path, and perform an action for communication traffic utilizing the one or more resources based on the acknowledgement.

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed for adaptive platform power management. These improve energy source management through switching energy sources of an edge node by incorporating memory, machine readable instructions, and processor circuitry to execute the functions of: evaluate operational parameters of a first energy source connected to a node and a second energy source connected to the node; determine an energy source to run a workload of the edge node based on a comparison of a first renewability to a second renewability, the evaluation of the operational parameters, and a power requirement of the workload, wherein the preferred energy source is the first energy source or the second energy source; and cause the edge node to switch to the preferred energy source.

Abstract: Examples relate to a concept for software application container hardware resource allocation, and in particular to sidecar apparatuses, sidecar devices, methods for a software application container sidecars, a resource management controller apparatus, a resource management controller device, and corresponding computer programs and computer systems. A sidecar apparatus comprises interface circuitry, machine-readable instructions and processing circuitry to execute the machine-readable instructions to obtain information on hardware resources desired by a software application container from the software application container, and to provide a request for changing the hardware resources allocated to the software application container to another entity capable of influencing an allocation of hardware resources to the software application container.

Abstract: Technologies for providing efficient reprovisioning in an accelerator device include an accelerator sled. The accelerator sled includes a memory and an accelerator device coupled to the memory. The accelerator device is to configure itself with a first bit stream to establish a first kernel, execute the first kernel to produce output data, write the output data to the memory, configure itself with a second bit stream to establish a second kernel, and execute the second kernel with the output data in the memory used as input data to the second kernel. Other embodiments are also described and claimed.

Abstract: Examples relate to a computer system, a telemetry hub apparatus, a telemetry hub device, a telemetry hub method, a microservice apparatus, a microservice device, a microservice method and to corresponding computer programs. The telemetry apparatus is configured to obtain telemetry information from a plurality of microservices, and to provide access to the telemetry information for the plurality of microservices according to an access scheme.

Abstract: Technologies for dynamically managing resources in disaggregated accelerators include an accelerator. The accelerator includes acceleration circuitry with multiple logic portions, each capable of executing a different workload. Additionally, the accelerator includes communication circuitry to receive a workload to be executed by a logic portion of the accelerator and a dynamic resource allocation logic unit to identify a resource utilization threshold associated with one or more shared resources of the accelerator to be used by a logic portion in the execution of the workload, limit, as a function of the resource utilization threshold, the utilization of the one or more shared resources by the logic portion as the logic portion executes the workload, and subsequently adjust the resource utilization threshold as the workload is executed. Other embodiments are also described and claimed.

Abstract: Examples described herein relate to a network interface device. In some examples, the network interface device includes circuitry to: based on a request to process data by a particular operation: determine available hardware resources, where the available hardware resources include a hardware resource in a reduced power state, and select a hardware resource among the available hardware resources based on a data processing measurement for the particular operation.

Abstract: An apparatus to facilitate provenance audit trails for microservices architectures is disclosed. The apparatus includes one or more processors to obtain provenance metadata for a microservice from a local blockchain of provenance metadata maintained for the hardware resource executing a task performed by the microservice, the provenance metadata comprising identification of the microservice, operating state of at least one of a hardware resource or a software resource used to execute the microservice and the task, and an operating state of a sidecar of the microservice during the task; access one or more policies established for the microservice; analyze the provenance metadata with respect to the one or more policies to identify if there is a violation of the one or more policies; and generate one or more evaluation metrics based on whether the violation of the one or more policies is identified.

Abstract: Examples described herein relate to failover of processes from a first network interface device to a second network interface device. A first programmable network interface device includes a network interface, a direct memory access (DMA) circuitry, a host interface, and at least one processor to execute a first process. A second programmable network interface device includes a network interface, a DMA circuitry, a host interface, and at least one processor. The at least one processor of the second programmable network interface device is to perform failover execution of the first process.

Abstract: Technologies for function as a service (FaaS) arbitration include an edge gateway, multiple endpoint devices, and multiple service providers. The edge gateway receives a registration request from a service provider that is indicative of an FaaS function identifier and a transform function. The edge gateway verifies an attestation received from the service provider and registers the service provider. The edge gateway receives a function execution request from an endpoint device that is indicative of the FaaS function identifier. The edge gateway selects the service provider based on the FaaS function identifier, programs an accelerator with the transform function, executes the transform function with the accelerator to transform the function execution request to a provider request, and submits the provider request to the service provider. The service provider may be selected based on an expected service level included in the function execution request. Other embodiments are described and claimed.

Abstract: An architecture to allow Multi-Access Edge Computing (MEC) billing and charge tracking, is disclosed. In an example, a tracking process, such as is performed by an edge computing apparatus, includes: receiving a computational processing request for a service operated with computing resources of the edge computing apparatus from a connected edge device within the first access network, wherein the computational processing request includes an identification of the connected edge device; identifying a processing device, within the first access network, for performing the computational processing request; and storing the identification of the connected edge device, a processing device identification, and data describing the computational processes completed by the processing device in association with the computational processing request.