A forwarding entry generation method includes sending, by a controller, a plurality of resource allocation request messages to a plurality of network devices in a network slice, to trigger the plurality of network devices to allocate resources, where the resource allocation request message includes an identifier of the network slice and a resource that needs to be allocated by a corresponding network device to the network slice; receiving, by the controller, a plurality of resource allocation response messages including the identifier of the network slice and a segment identifier of a corresponding network device, and a resource allocated by each device belongs to the network slice; and generating, by the controller, a forwarding table corresponding to the network slice, where the forwarding table includes a forwarding entry for arriving at a network device in the network slice.

Systems, devices, and methods discussed herein enable the provisioning of one or more virtual resources within a cloud-computing environment based at least in part on user-defined constraints. By way of example, a request to provision one or more virtual resources within the cloud-computing environment may be received. The request may include a set of user-defined constraints. Placement data indicating a mapping of a particular virtual resource to a particular hardware resource may be obtained based at least in part on the set of user-defined constraints. The virtual resource(s) may be provisioned within the cloud-computing environment in accordance with the set of user-defined constraints based at least in part on utilization of the placement data.

Systems, devices, and methods discussed herein enable the provisioning of one or more virtual resources within a cloud-computing environment based at least in part on user-defined constraints. By way of example, a request to provision one or more virtual resources within the cloud-computing environment may be received. The request may include a set of user-defined constraints. Placement data indicating a mapping of a particular virtual resource to a particular hardware resource may be obtained based at least in part on the set of user-defined constraints. The virtual resource(s) may be provisioned within the cloud-computing environment in accordance with the set of user-defined constraints based at least in part on utilization of the placement data.

Aspects of the present disclosure relate to allocating RAN resources among RAN slices using a machine learning model. In examples, the machine learning model may determine an optimal RAN resource configuration based on compute power needs. As a result, RAN resource allocation generation and compute power requirements may improve, even in instances with changing or unknown network conditions. In examples, a prediction engine may receive communication parameters and/or requirements associated with service-level agreements (SLAs) for applications executing at least partially at a device in communication with the RAN. The RAN may generate one or more RAN resource configuration for implementation among RAN slices. Upon a change in network conditions or SLA requirements, an optimal RAN configuration may be determined in terms of required compute power.

There is provided a method for network management. Transmission of a request for performance of a management task on the network is initiated towards a second entity (20), which is configured to manage network slices of the network. The request comprises information identifying a first network slice (40) of the network and a first programming construct executable to cause the second entity (20) to identify one or more second network slices of the network that are supporting the first network slice (40) and/or one or more first network nodes (60) of the network supporting the first network slice (40). The request comprises a second programming construct executable to cause the second entity (20) to select the first network slice (40), one or more identified second network slices, and/or one or more identified first network nodes (60), on which to perform the management task.

Disclosed are a system and method of integrating an on-demand compute environment into a local compute environment. The method includes receiving a request from an administrator to integrate an on-demand compute environment into a local compute environment and, in response to the request, automatically integrating local compute environment information with on-demand compute environment information to make available resources from the on-demand compute environment to requesters of resources in the local compute environment such that policies of the local environment are maintained for workload that consumes on-demand compute resources.

Disclosed are a system and method of integrating an on-demand compute environment into a local compute environment. The method includes receiving a request from an administrator to integrate an on-demand compute environment into a local compute environment and, in response to the request, automatically integrating local compute environment information with on-demand compute environment information to make available resources from the on-demand compute environment to requesters of resources in the local compute environment such that policies of the local environment are maintained for workload that consumes on-demand compute resources.

The present disclosure relates to methods and systems for configuring service mesh networking resources for dynamically discovered external entities. The methods and systems create custom resource objects for services provided by the external entities and dynamically create service mesh network resources for the custom resource objects. The methods and systems enable communications with the external entities using the service mesh network resources.

A system for providing network function as a service includes a combination of virtual network resources hosted on physical network resources, wherein the virtual network resources are communicatively chained to provide a dynamically configurable set of processing resources and a configurable controller in communication with the combination of virtual network resources, wherein the controller includes a scheduler and load balancer. The controller is configured to receive a request to provide network function as a service functionality, retrieve policies associated with the request, schedule the virtual network resources to be assigned in response to the request, instantiate the virtual network resources and balance the virtual network resources across one or more physical resources.

A system for providing network function as a service includes a combination of virtual network resources hosted on physical network resources, wherein the virtual network resources are communicatively chained to provide a dynamically configurable set of processing resources and a configurable controller in communication with the combination of virtual network resources, wherein the controller includes a scheduler and load balancer. The controller is configured to receive a request to provide network function as a service functionality, retrieve policies associated with the request, schedule the virtual network resources to be assigned in response to the request, instantiate the virtual network resources and balance the virtual network resources across one or more physical resources.