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:
An apparatus to manage a data lake is disclosed. A disclosed example apparatus includes a location selector to select an edge device to store the data lake, a key generator to, in response to an indication that a service is authorized to access the data lake, generate an encryption key corresponding to the data lake and generate a key wrapping key corresponding to the edge device, and a key distributor to wrap the encryption key using the key wrapping key, and distribute the encryption key and the key wrapping key to the edge device, the encryption key to enable the service on the edge device to access the data lake.
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:
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 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:
Technologies for load-aware traffic steering include a compute device that includes a multi-homed network interface controller (NIC) with a plurality of NICs. The compute device determines a target virtual network function (VNF) of a plurality of VNFs to perform a processing operation on a network packet. The compute device further identifies a first steering point of a first NIC to steer the received network packet to virtual machines (VMs) associated with the target VNF and retrieves a resource utilization metric that corresponds to a usage level of a component of the compute device used by the VMs to process the network packet. Additionally, the compute device determines whether the resource utilization metric indicates a potential overload condition and provides a steering instruction to a second steering point of a second NIC that is usable to redirect the network traffic to the other VMs via the identified second steering point.
Abstract:
There is disclosed in an example, a computing apparatus, including: a processor having a resource direction capability; and one or more logic elements providing a network function virtualization orchestrator (NFVO) engine to: store for a virtual machine (VM) an extended performance profile, comprising a metric from the resource direction capability.
Abstract:
Systems and methods may provide for receiving runtime input from one or more unlock interfaces of a device and selecting a level of access with regard to the device from a plurality of levels of access based on the runtime input. The selected level of access may have an associated security policy, wherein an authentication of the runtime input may be conducted based on the associated security policy. In one example, one or more cryptographic keys are used to place the device in an unlocked state with regard to the selected level of access if the authentication is successful. If the authentication is unsuccessful, on the other hand, the device may be maintained in a locked state with regard to the selected level of access.
Abstract:
There is disclosed in one example an application-specific integrated circuit (ASIC), including: an artificial intelligence (AI) 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 AI 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:
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.