Disclosed embodiments are directed at systems, methods, and architecture for operating a control plan of a microservices application. The control plane corresponds with data plane proxies associated with each of a plurality of APIs that make up the microservices application. The communication between the data plane proxies and the control plane enables automatic detection of service groups of APIs and automatic repair of application performance in real-time in response to degrading service node conditions.

Disclosed embodiments are directed at systems, methods, and architecture for operating a control plan of a microservices application. The control plane corresponds with data plane proxies associated with each of a plurality of APIs that make up the microservices application. The communication between the data plane proxies and the control plane enables automatic detection of service groups of APIs and automatic repair of application performance in real-time in response to degrading service node conditions.

A computing system implementing an application service can determine, from a network dataset, that a network latency for a common network service provider crosses an upper latency threshold. Based on this determination, the system can determine a subset of the computing devices that utilize the common network service provider, and transmit a set of configuration signals to the subset of computing devices. The set of configuration signals can modify a set of default application configurations of a designated application to compensate for the network latency.

A computing system implementing an application service can determine, from a network dataset, that a network latency for a common network service provider crosses an upper latency threshold. Based on this determination, the system can determine a subset of the computing devices that utilize the common network service provider, and transmit a set of configuration signals to the subset of computing devices. The set of configuration signals can modify a set of default application configurations of a designated application to compensate for the network latency.

A system, method, and computer-readable medium are disclosed for performing a data center monitoring and management operation. The data center monitoring and management operation includes: identifying a plurality of asset resources; selecting a workload for allocation of asset resources; determining which asset resources of the plurality of asset resources may be needed for allocation, determination of which asset resources of the plurality of asset resources may be needed for allocation taking into account on-premises asset resources and cloud-based asset resources the inventory of the available asset resources; and, performing a data center hybrid cloud asset allocation operation, the data center asset allocation operation allocating resources the workload based upon the determining.

The present disclosure relates to a method for deploying an intelligent edge cluster model includes checking an application requirement and a key performance indicator at a first edge node, dynamically assigning a first resource from the resources in the virtual resource pool of the intelligent edge cluster model to the first edge node, instructing a command to another edge node to assign one or more resources to the first edge node. In particular, the intelligent edge cluster model includes edge nodes and master controller having corresponding one or more resources combined to form the virtual resource pool.

Various embodiments are directed to methods, apparatus, systems and the like for managing distributed radio access network (RAN) elements within a network associated with a network core, wherein for each of a plurality of distributed RAN elements (DREs) within the network associated with the network core a respective virtualized proxy element is configured to communicate with the DRE and mirror each of a plurality of functional elements (FEs) associated with the DRE.

Embodiments of this application provide a data analytics method, an apparatus, and a system, and relate to the field of communication technologies, to improve a use effect of data analytics information. The method includes: A data analytics network element receives, from a first network element, effect information of data analytics information. The data analytics network element determines updated data analytics information based on the effect information. In this way, the data analytics network element determines, based on the effect information, whether a use effect achieved by using the data analytics information is good or bad, to know whether a data analytics model is accurate. In this solution, the data analytics network element may actively update the data analytics information in time based on the effect information, to improve a use effect of the updated data analytics information.

Various systems and methods for cellular network slice management are presented. A cloud-based application may be determined to be authorized to manage a cellular network slice utilized by the cloud-based application for communication with user equipment. A request can be received from the cloud-based application to modify the cellular network slice from the cloud-based application. In response to the request, a parameter of the cellular network slice may be modified. The cellular network can then use the modified slice for communication with user equipment for the cloud-based application.

A method includes obtaining, by a management device, sub-interface information that includes a correspondence between an identifier of a first sub-interface of a first device and a first network slice identifier, a correspondence between an identifier of a second sub-interface of a second device and a second network slice identifier, and information indicating that the first sub-interface is directly connected to the second sub-interface, and determining, by the management device, a network slice topology based on the obtained sub-interface information.