A system is disclosed for providing Open RAN CU-UP high availability, the system comprising: at least one active CU-CP; at least one active CU-UP in communication with the at least one active CU-CP; and at least one standby CU-UP in communication with the at least one active CU-CP; wherein when a message may be received from a CU-CP that detects a failure of the at least one active CU-UP, the at least one standby CU-UP may be configured to take over and become an active CU-UP, thereby providing failover redundancy for the at least one active CU-UP.

Methods, systems, and computer-readable media are disclosed herein for proactively managing computing problems. In aspects, an execution of a script is initiated. A connection may be established via the script and the central database for identifying a network quality issue. The network quality issue may be identified more than once. Further, the network quality issue may be identified based on the network quality issue satisfying a threshold. Additionally, it may be determined that the network quality issue that satisfies the threshold is not associated with an electronic documentation based on a search in the central database. Based on determining the network quality issue is not associated with the electronic documentation, the electronic documentation may be created for the network quality issue that satisfies the threshold.

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 computing apparatus, including: a hardware platform; and an interworking broker function (IBF) hosted on the hardware platform, the IBF including a translation driver (TD) associated with a legacy network appliance lacking native interoperability with an orchestrator, the IBF configured to: receive from the orchestrator a network function provisioning or configuration command for the legacy network appliance; operate the TD to translate the command to a format consumable by the legacy network appliance; and forward the command to the legacy network appliance.

A communication apparatus that performs communication that uses Transmission Control Protocol (TCP) via one or more network slices determines a respective configuration of the one or more network slices based on a respective state of the communication that uses TCP in the one or more network slices and a respective required quality in the one or more network slices, and makes a request to an apparatus that manages the one or more network slices so as to perform the determined configuration.

A communication apparatus that performs communication that uses Transmission Control Protocol (TCP) via one or more network slices determines a respective configuration of the one or more network slices based on a respective state of the communication that uses TCP in the one or more network slices and a respective required quality in the one or more network slices, and makes a request to an apparatus that manages the one or more network slices so as to perform the determined configuration.

Disclosed herein are systems, devices, and methods for providing auto-scaling in a cluster of device instances. In one embodiment, a method is disclosed comprising updating, using a distributed counter, a metric associated with one or more instances executing a network application; identifying that the metric has exceeded a threshold defined in a scaling policy based on comparing the distributed counter to the scaling policy; identifying a command to execute in response to the metric exceeding the threshold; and executing the command to modify the one or more instances.

Dynamic adaptive reconfiguration of a computing system includes receiving a request to remove a first node in a plurality of physical nodes. An operating system is executing collectively across the plurality of physical nodes, and an application is running on the operating system. It further includes in response to the request, and while the application is running, evacuating virtualized resources associated with the first node to one or more other nodes in the plurality of physical nodes. It further includes subsequent to the evacuation of the virtualized resources, removing the first node from the plurality of physical nodes.

Mobility service providers and others can use cloud platforms to meet customer demand. Due to changing demand or changing technology numerous issues arise. For example, server utilization within the cloud platform can become less efficient over time. As another example, virtual machines and virtual network functions processed by the cloud platform typically need to be extensively tested and certified, which can be expensive. Moreover, intra-platform communication can play a significant role in the costs to operate a cloud platform. Techniques detailed herein can address many of these issues, e.g., by providing mechanisms for increasing host or server utilization in response to changing demand, introducing a container technique for virtual machines to mitigate testing costs, and modeling bandwidth resources.

Some embodiments provide a novel method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and/or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.