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: Technologies for accelerated key caching in an edge hierarchy include multiple edge appliance devices organized in tiers. An edge appliance device receives a request for a key, such as a private key. The edge appliance device determines whether the key is included in a local key cache and, if not, requests the key from an edge appliance device included in an inner tier of the edge hierarchy. The edge appliance device may request the key from an edge appliance device included in a peer tier of the edge hierarchy. The edge appliance device may activate per-tenant accelerated logic to identify one or more keys in the key cache for eviction. The edge appliance device may activate per-tenant accelerated logic to identify one or more keys for pre-fetching. Those functions of the edge appliance device may be performed by an accelerator such as an FPGA. Other embodiments are described and claimed.

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: Technologies for managing telemetry and sensor data on an edge networking platform are disclosed. According to one embodiment disclosed herein, a device monitors telemetry data associated with multiple services provided in the edge networking platform. The device identifies, for each of the services and as a function of the associated telemetry data, one or more service telemetry patterns. The device generates a profile including the identified service telemetry patterns.

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: Various aspects of methods, systems, and use cases include using an edge device to control power states of nodes in an edge cluster. A method may include scheduling unscheduled application pods on a set of nodes of an edge cluster. The method may include determining a change to at least one power state of the set of power states based on the schedule. The method may include causing the edge cluster to operate according to the change.

Abstract: Technologies for providing selective offload of execution of an application to the edge include a device that includes circuitry to determine whether a section of an application to be executed by the device is available to be offloaded. Additionally, the circuitry is to determine one or more characteristics of an edge resource available to execute the section. Further, the circuitry is to determine, as a function of the one or more characteristics and a target performance objective associated with the section, whether to offload the section to the edge resource and offload, in response to a determination to offload the section, the section to the edge resource.

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: There is disclosed in one example an application-specific integrated circuit (ASIC), including: an artificial intelligence (Al) circuit; and circuitry to: identify a flow, the flow including traffic diverted from a core cloud service of a network to be serviced by an edge node closer to an edge of the network than to the core of the network; receive telemetry related to the flow, the telemetry including fine-grained and flow-level network monitoring data for the flow; operate the Al circuit to predict, from the telemetry, a future service-level demand for the edge node; and cause a service parameter of the edge node to be tuned according to the prediction.

Abstract: Examples include techniques for core-specific metrics collection. Examples include fetching metrics of a core of a multi-core processor from one or more registers responsive to scheduling of an event. The fetched metrics are pushed to a shared memory space of a memory that is accessible to a user-space application and accessible to other cores of the multi-core processor. The user-space application to access the shared memory space to aggregate core-specific metrics associated with at least the core of the multi-core processor and then publish the aggregated core-specific metrics.

Abstract: Technologies for providing dynamic persistence of data in edge computing include a device including circuitry configured to determine multiple different logical domains of data storage resources for use in storing data from a client compute device at an edge of a network. Each logical domain has a different set of characteristics. The circuitry is also to configured to receive, from the client compute device, a request to persist data. The request includes a target persistence objective indicative of an objective to be satisfied in the storage of the data. Additionally, the circuitry is configured to select, as a function of the characteristics of the logical domains and the target persistence objective, a logical domain into which to persist the data and provide the data to the selected logical domain.

Abstract: Technologies for accelerated key caching in an edge hierarchy include multiple edge appliance devices organized in tiers. An edge appliance device receives a request for a key, such as a private key. The edge appliance device determines whether the key is included in a local key cache and, if not, requests the key from an edge appliance device included in an inner tier of the edge hierarchy. The edge appliance device may request the key from an edge appliance device included in a peer tier of the edge hierarchy. The edge appliance device may activate per-tenant accelerated logic to identify one or more keys in the key cache for eviction. The edge appliance device may activate per-tenant accelerated logic to identify one or more keys for pre-fetching. Those functions of the edge appliance device may be performed by an accelerator such as an FPGA. Other embodiments are described and claimed.

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: 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: Devices, methods, apparatus, systems, and articles of manufacture to propagate a model in edge architecture are disclosed. An example device includes an interface to access a model received via the edge architecture; at least one memory; instructions in the device; and one or more processors to execute the instructions to: determine a number of attestation responses based on a blockchain associated with the model; determine if the number satisfies a threshold number; initiate an execution of the model in response to verifying that the number satisfies the threshold number; and transmit the model to a plurality of edge appliances in response the number not satisfying the threshold number.

Abstract: A network switch includes a memory device to store a stream information of a plurality of data streams being handled by the network switch, the stream information including a stream identifier, a stream service level agreement (SLA), and a stream traffic type; accelerator circuitry to apply stream transformation functions to data streams; telemetry circuitry to monitor egress ports of the network switch; and scheduler circuitry to: receive telemetry data from the telemetry circuitry to determine that a utilization of egress ports of the network switch is over a threshold utilization; determine a selected data stream of the plurality of data streams to transform; use the accelerator circuitry to transform the selected data stream to produce a transformed data stream, wherein the transformed data stream complies with a corresponding stream SLA; and transmit the transformed data stream on an egress port.

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: Examples provide a network component, a network switch, a central office, a base station, a data storage element, a method, an apparatus, a computer program, a machine readable storage, and a machine readable medium. A network component (10) is configured to manage data consistency among two or more data storage elements (20, 30) in a network (40). The network component (10) comprises one or more interfaces (12) configured to register information on the two or more data storage elements (20, 30) comprising the data, information on a temporal range for the data consistency, and information on one or more address spaces at the two or more data storage elements (20, 30) to address the data.

Abstract: Technologies for providing streamlined provisioning of accelerated functions in a disaggregated architecture include a compute sled. The compute sled includes a network interface controller and circuitry to determine whether to accelerate a function of a workload executed by the compute sled, and send, to a memory sled and in response to a determination to accelerate the function, a data set on which the function is to operate. The circuitry is also to receive, from the memory sled, a service identifier indicative of a memory location independent handle for data associated with the function, send, to a compute device, a request to schedule acceleration of the function on the data set, receive a notification of completion of the acceleration of the function, and obtain, in response to receipt of the notification and using the service identifier, a resultant data set from the memory sled. The resultant data set was produced by an accelerator device during acceleration of the function on the data set.

Abstract: Methods and systems that allow a user to see the people or groups who have access to files that are maintained by a plurality of cloud content sharing services. In particular, the user may see what specific party has access to each particular file or directory, regardless of multiple cloud content sharing services involved. Moreover, a user interface and exposed application program interface allows the user to manipulate the permissions, e.g., granting access, to another person or group, to a file or directory. The user interface may also allow the user to terminate access to the file or directory for a person or group. The user's action to change a permission may be effected independently of the particular cloud content sharing service.