At&t Intellectual Property I, L.p.

John Ng

Dean Bragg

Mark Jeffrey Foladare

Robert M Higgins

John Oetting

Chuxin Chen

George Dome

A network functions virtualization (NFV) network can be configured to operate according to NFV protocols that decouple software functionality from specific hardware elements. A referent system can be provided that identifies a precise physical location of devices associated with the NFV network relative to other equipment or devices associated with the NFV network.

Referent system for devices of an NFV network

A method includes receiving, by a processor, metadata for deploying a virtual function on a cloud network. The method may include determining, by the processor, whether deployment of the virtual function is possible without conflicting with the metadata. The method may include based on the determination that the deployment of the virtual function is possible without conflicting with the metadata, designing, by the processor, a cloud plan, or a transport plan. The method may include determining, based on the metadata, a network configuration to implement the cloud plan or the transport plan. The method may include configuring, by the processor, the cloud network using the network configuration.

Closed-loop deployment of virtual functions and cloud infrastructure

A method includes receiving metadata for deploying a virtual function on a cloud network. The metadata includes a recipe, policy, and template. The method includes, based on the metadata, designing a cloud plan and a transport plan for deploying the virtual function on the cloud network to meet a forecasted demand. The method includes determining a network configuration to implement the cloud plan and the network plan based on the metadata and causing the cloud network to be configured using the network configuration. The method includes instantiating the virtual function on the configured cloud network.

An intelligent preventative maintenance architecture for maintaining a plurality of cloud components operating within a cloud computing environment is disclosed. The architecture can perform a predictive failure analysis that monitors health of at least a portion of the plurality of cloud components that hosts a mission critical application. The predictive failure analysis receives sensor data that includes environmental data associated with environmental characteristics of the cloud computing environment and cloud component data associated with operational characteristics of at least a portion of the plurality of cloud components operating within the cloud computing environment. The predictive failure analysis analyzes the sensor data to detect an abnormal pattern within the sensor data, determines a root cause of the abnormal pattern, and predicts a probability of a failure of at least one cloud component of the plurality of cloud components.

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Morganville, NJ, United States of America

John Ng