Abstract: An architecture to perform resource management among multiple network nodes and associated resources is disclosed. Example resource management techniques include those relating to: proactive reservation of edge computing resources; deadline-driven resource allocation; speculative edge QoS pre-allocation; and automatic QoS migration across edge computing nodes.

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: An architecture to perform resource management among multiple network nodes and associated resources is disclosed. Example resource management techniques include those relating to: proactive reservation of edge computing resources; deadline-driven resource allocation; speculative edge QoS pre-allocation; and automatic QoS migration across edge computing nodes.

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: A device of a service coordinating entity includes communications circuitry to communicate with a plurality of access networks via a corresponding plurality of network function virtualization (NFV) instances, processing circuitry, and a memory device. The processing circuitry is to perform operations to monitor stored performance metrics for the plurality of NFV instances. Each of the NFV instances is instantiated by a corresponding scheduler of a plurality of schedulers on a virtualization infrastructure of the service coordinating entity. A plurality of stored threshold metrics is retrieved, indicating a desired level for each of the plurality of performance metrics. A threshold condition is detected for at least one of the performance metrics for an NF V instance of the plurality of NFV instances, based on the retrieved plurality of threshold metrics. A hardware resource used by the NFV instance to communicate with an access network is adjusted based on the detected threshold condition.

Abstract: A device of a service coordinating entity includes communications circuitry to communicate with a plurality of access networks via a corresponding plurality of network function virtualization (NFV) instances, processing circuitry, and a memory device. The processing circuitry is to perform operations to monitor stored performance metrics for the plurality of NFV instances. Each of the NFV instances is instantiated by a corresponding scheduler of a plurality of schedulers on a virtualization infrastructure of the service coordinating entity. A plurality of stored threshold metrics is retrieved, indicating a desired level for each of the plurality of performance metrics. A threshold condition is detected for at least one of the performance metrics for an NFV instance of the plurality of NFV instances, based on the retrieved plurality of threshold metrics. A hardware resource used by the NFV instance to communicate with an access network is adjusted based on the detected threshold condition.

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: A container set manager may determine a plurality of container sets, each container set specifying a non-functional architectural concern associated with deployment of a service within at least one data center. A decision table manager may determine a decision table specifying relative priority levels of the container sets relative to one another with respect to the deployment. A placement engine may determine an instance of an application placement model (APM), based on the plurality of container sets and the decision table, determine an instance of a data center placement model (DPM) representing the at least one data center, and generate a placement plan for the deployment, based on the APM instance and the DPM instance.

Abstract: Example methods, apparatus, and systems to manage quality of service with respect to service level agreements in a computing device are disclosed. An example apparatus includes a first mesh proxy assigned to a first platform-agnostic application, the first mesh proxy to generate a first resource request signal based on a first service level agreement requirement from the first platform-agnostic application; a second mesh proxy assigned to a second platform-agnostic application, the second mesh proxy to generate a second resource request signal based on a second service level agreement requirement from second platform-agnostic application; and a load balancer to allocate hardware resources for the first platform-agnostic application and the second platform-agnostic application based on the first resource request signal and the second resource request signal.

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: 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: An architecture to perform resource management among multiple network nodes and associated resources is disclosed. Example resource management techniques include those relating to: proactive reservation of edge computing resources; deadline-driven resource allocation; speculative edge QoS pre-allocation; and automatic QoS migration across edge computing nodes.

Abstract: A container set manager may determine a plurality of container sets, each container set specifying a non-functional architectural concern associated with deployment of a service within at least one data center. A decision table manager may determine a decision table specifying relative priority levels of the container sets relative to one another with respect to the deployment. A placement engine may determine an instance of an application placement model (APM), based on the plurality of container sets and the decision table, determine an instance of a data center placement model (DPM) representing the at least one data center, and generate a placement plan for the deployment, based on the APM instance and the DPM instance.

Abstract: A container set manager may determine a plurality of container sets, each container set specifying a non-functional architectural concern associated with deployment of a service within at least one data center. A decision table manager may determine a decision table specifying relative priority levels of the container sets relative to one another with respect to the deployment. A placement engine may determine an instance of an application placement model (APM), based on the plurality of container sets and the decision table, determine an instance of a data center placement model (DPM) representing the at least one data center, and generate a placement plan for the deployment, based on the APM instance and the DPM instance.

Abstract: Methods and apparatus for implementing hybrid-cloud computing networks are disclosed. An example computer-implemented method includes receiving, at a computing device, a request to provision a user application. The method further includes identifying an application blueprint corresponding with the request and identifying at least one computing resource corresponding with the request. The method still further includes identifying a network blueprint that includes the at least one computing resource, provisioning a computing network in accordance with the identified network blueprint and provisioning the at least one computing resource in the provisioned computing network. The method also includes, installing the user application in the provisioned at least one computing resource in accordance with the application blueprint.

Abstract: Methods and apparatus for implementing hybrid-cloud computing networks are disclosed. An example computer-implemented method includes receiving, at a computing device, a request to provision a user application. The method further includes identifying an application blueprint corresponding with the request and identifying at least one computing resource corresponding with the request. The method still further includes identifying a network blueprint that includes the at least one computing resource, provisioning a computing network in accordance with the identified network blueprint and provisioning the at least one computing resource in the provisioned computing network. The method also includes, installing the user application in the provisioned at least one computing resource in accordance with the application blueprint.

Abstract: Methods and apparatus for implementing hybrid-cloud computing networks are disclosed. An example computer-implemented method includes receiving, at a computing device, a request to provision a user application. The method further includes identifying an application blueprint corresponding with the request and identifying at least one computing resource corresponding with the request. The method still further includes identifying a network blueprint that includes the at least one computing resource, provisioning a computing network in accordance with the identified network blueprint and provisioning the at least one computing resource in the provisioned computing network. The method also includes, installing the user application in the provisioned at least one computing resource in accordance with the application blueprint.

Abstract: A container set manager may determine a plurality of container sets, each container set specifying a non-functional architectural concern associated with deployment of a service within at least one data center. A decision table manager may determine a decision table specifying relative priority levels of the container sets relative to one another with respect to the deployment. A placement engine may determine an instance of an application placement model (APM), based on the plurality of container sets and the decision table, determine an instance of a data center placement model (DPM) representing the at least one data center, and generate a placement plan for the deployment, based on the APM instance and the DPM instance.

Abstract: Methods and apparatus for implementing hybrid-cloud computing networks are disclosed. An example computer-implemented method includes receiving, at a computing device, a request to provision a user application. The method further includes identifying an application blueprint corresponding with the request and identifying at least one computing resource corresponding with the request. The method still further includes identifying a network blueprint that includes the at least one computing resource, provisioning a computing network in accordance with the identified network blueprint and provisioning the at least one computing resource in the provisioned computing network. The method also includes, installing the user application in the provisioned at least one computing resource in accordance with the application blueprint.

Abstract: A provider definition represents software that implements the semantics of one or more operations on an object in an object-oriented system. A provider represents a specific instance of a provider definition. One or more providers implement operations for objects in the system. A component of the system called the provider registry maintains a mapping of providers and operations as defined by the provider definitions. When handling a request to invoke a operation on an object, the system dynamically dispatches to the correct provider based on this mapping. Where more than one provider are registered as implementing the desired operation on an object, techniques are disclosed for selecting a provider to perform the desired operation.