Abstract:
A method, computer readable medium for diagnosing wireless network performance via a customer endpoint device are disclosed. For example, the method receives a request to perform a wireless network performance diagnostic test that is initiated by a customer endpoint device, establishes a session with the customer endpoint device, performs the wireless network performance diagnostic test in response to the request via the session using a packet generated by the customer endpoint device and provides diagnostic test data gathered from the wireless network performance diagnostic test to the customer endpoint device.
Abstract:
A model-driven system automatically deploys a virtualized service, including multiple service components, on a distributed cloud infrastructure. A master service orchestrator causes a cloud platform orchestrator to retrieve a cloud services archive file, extract a cloud resource configuration template and create cloud resources at appropriate data centers as specified. The master service orchestrator also causes a software defined network controller to retrieve the cloud services archive file, to extract a cloud network configuration template and to configure layer 1 through layer 3 virtual network functions and to set up routes between them. Additionally, the master service orchestrator causes an application controller to retrieve the cloud services archive file, to extract a deployment orchestration plan and to configure and start layer 4 through layer 7 application components and bring them to a state of operational readiness.
Abstract:
Aspects of the subject disclosure may include, for example, receiving network-related information associated with a first RAN that includes a first RIC, obtaining, from an artificial intelligence (AI) model synchronization system associated with a second RAN, data relating to an AI model deployed by a second RIC of the second RAN, determining, based on the data relating to the AI model and the network-related information associated with the first RAN, that the AI model can be leveraged by the first RAN to improve network performance of the first RAN, performing synchronization with the AI model synchronization system to obtain the AI model, responsive to the determining that the AI model can be leveraged by the first RAN to improve the network performance of the first RAN, and causing the first RIC to deploy the AI model in the first RAN after the performing the synchronization. Other embodiments are disclosed.
Abstract:
A cloud services composition system allows customers to interactively create service constructs from network function virtualization resources. The network function virtualization primitives are modeled using a standard modeling language. An expert system suggests network function virtualization resources for use in the service construct, based on an expert system learning algorithm. The customer uses a graphical user interface to interconnect the resources and create the service construct. The process may involve collaboration with the network provider. The resulting construct is validated for use in a communications network.
Abstract:
A model-driven system automatically deploys a virtualized service, including multiple service components, on a distributed cloud infrastructure. A master service orchestrator causes a cloud platform orchestrator to retrieve a cloud services archive file, extract a cloud resource configuration template and create cloud resources at appropriate data centers as specified. The master service orchestrator also causes a software defined network controller to retrieve the cloud services archive file, to extract a cloud network configuration template and to configure layer 1 through layer 3 virtual network functions and to set up routes between them. Additionally, the master service orchestrator causes an application controller to retrieve the cloud services archive file, to extract a deployment orchestration plan and to configure and start layer 4 through layer 7 application components and bring them to a state of operational readiness.
Abstract:
A system may allow for generic end user mobile devices to be operated using a virtualized personal device framework. The virtualized personal device framework may provide for a collective intelligence network platform that allows offloading of heavy computing processes onto virtual instance in a cloud network and enables crowd sourcing services for smart cities that may provide smart emergency services in which end-users collaborate.
Abstract:
A system may allow for generic end user mobile devices to be operated using a virtualized personal device framework. The virtualized personal device framework may provide for a collective intelligence network platform that allows offloading of heavy computing processes onto virtual instance in a cloud network and enables crowd sourcing services for smart cities that may provide smart emergency services in which end-users collaborate.
Abstract:
Methods, non-transitory computer readable media, and devices are disclosed for rendering a visualization using a package to expand a statistical programming language. For example, a processor may load the package, which may comprise a plurality of application programming interfaces including a first application programming interface for generating a first object to contain a metadata set and a second application programming interface for generating a second object for rendering a visual output to present via a display. In one example, the metadata set includes content data and information regarding a formatting of at least one visualization based on the content data. The processor may further configure the first object via the first application programming interface, configure the second object via the second application programming interface, and render the visual output via the second object, the visual output including the at least one visualization.
Abstract:
A cloud services composition system allows customers to interactively create service constructs from network function virtualization resources. The network function virtualization primitives are modeled using a standard modeling language. An expert system suggests network function virtualization resources for use in the service construct, based on an expert system learning algorithm. The customer uses a graphical user interface to interconnect the resources and create the service construct. The process may involve collaboration with the network provider. The resulting construct is validated for use in a communications network.
Abstract:
A method and apparatus for correlating data obtained from an external source with a particular network based record are disclosed. For example, the method implemented via a processor obtains the data from the external source, wherein the data comprises test records for a plurality of test calls, identifies one or more mobile devices associated with the test records obtained from the external source, retrieves a plurality of network based records associated with the one or more mobile devices that are identified, selects a particular test call from among the plurality of test calls, searches for a particular network based record from the plurality of network based records matching the particular test call in accordance with a criterion, and correlates the particular test call with the particular network based record, when the searching successfully identified the particular network based record matching the particular test call in accordance with the criterion.