AT&T Intellectual Property I, LP

Mohammad Nikain

Daniel Connolly

Jiyuan Wang

Vahid Tavassoli

Abdelmajid Belhareth

Jeff Johnson

Allison Whittaker

Keith Dorking

Jayant V Ragde

David H Lu

Amee Fontanetta

Ali Nikain

Shahriar Ziari

Thomas Brooks Fitzsimmons

Patrick Tagatsi

The technologies described herein are generally directed to the autonomous onsite remediation of adverse conditions for network infrastructure in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include detecting a condition of a component of network equipment at a site that has a likelihood of indicating a defined adverse event that has at least a threshold likelihood of occurring. The method can further include, in response to detecting the condition, facilitating generating a graphical image of the component. Further, the method can include, based on information determined from the graphical image, remediating the condition.

Autonomous onsite remediation of adverse conditions for network infrastructure in a fifth generation (5G) network or other next generation wireless communication system

The technologies described herein are generally directed to selecting network routes based on aggregating models that can predict routing performance in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include communicating, to second routing equipment, a first model describing a delay predicted to be caused to a future communication by the future communication being transited via the first routing equipment. The method can further include receiving, from the second routing equipment, a current communication for transit via the first routing equipment to destination equipment, wherein the first routing equipment was selected by the second routing equipment based on the first model, and second models, other than the first model, describing respective predicted delays from other routing equipment other than the first routing and second routing equipment.

Selecting network routes based on aggregating models that predict node routing performance

Aspects of the subject disclosure may include, for example, providing a graphical user interface on a display device for interaction with operations personnel associated with a process to be performed; receiving, from the operations personnel, information defining one or more tasks to perform the process; receiving, from technical personnel associated with respective task of the one or more tasks, respective rulesets associated with the respective tasks, each respective ruleset defining procedures to complete a respective task, one or more of the respective rulesets implementing a machine learning algorithm to complete the respective task; displaying information about the one or more tasks on the graphical user interface during performance of the process; estimating, with an artificial intelligence process, a current status of the process, producing a current status estimate, wherein the estimating comprises estimating a status of the machine learning algorithm; and displaying process status information on the graphical user interface wherein the process status information is based on the current status estimate. Other embodiments are disclosed.

Artificial intelligence-based business process management visualization, development and monitoring

The technologies described herein are generally directed to deploying network equipment. For example, a method described herein can include facilitating receiving a first request to deploy first network equipment at a deployment location, with the first request including a first deployment parameter for the first network equipment. The method further includes, based on the first network equipment and the first deployment parameter, generating a deployment template. Further, the method can facilitate receiving a second request to deploy second network equipment at the deployment location, with the second request including a second deployment parameter for the second network equipment. The method can further include, based on the deployment template and the second deployment parameter, deploying the second network equipment.

Generating and utilizing templates and logical paths to deploy network equipment

Aspects of the subject disclosure may include, for example, determining delay data for respective network delays through a communication network from respective gaming stations to a gaming provider database for implementing a multi-user online video game, determining available cloud nodes in a potential path in the communication network between a respective gaming station and the gaming provider database, determining potential network configurations for data communication between the respective gaming stations and the gaming provider database using the available cloud nodes and available communication links, identifying an optimum configuration for data communication between the respective gaming stations and the gaming provider database, wherein the optimum configuration provides a minimum fair delay for the respective gaming stations, and configuring the communication network according to the optimum configuration. Other embodiments are disclosed.

Low delay networks for interactive applications including gaming

A method for managing systems with interrelated microservices with self-assembling and self-configuring microservices includes receiving at a first micro service a service request from a client. A determination is the made whether the first micro service is capable of processing the service request. If the first micro service is capable of processing the service requests, then processing the service request; if the first micro service cannot process the service request then routing the service request to a first stem service. The first stem service determines whether there is a second micro service that can process the service request. If the second micro service that can process the service requests exists, then forwarding the service request to the second micro service for processing. If there is no second micro service that can service the service requests then morphing the first stem service into a micro service that can service the service request.

Enhanced self-assembling and self-configuring microservices

Methods, systems, and apparatuses may provide for managing or operating self-evolving microservices. A method, system, computer readable storage medium, or apparatus may provide for receiving a message associated with a service, wherein the message is for a first microservice that contributes to the implementation of the service, wherein the first microservice comprises a plurality of rules; and subsequent to receiving the message, creating an evolved first microservice using a second rule of a plurality of rules of a second microservice.

Self-evolving microservices

Methods, systems and computer readable media for self-configuration of virtual network functions based on user intent are provided. A network having a plurality of virtual network functions each having a set of initial offering attributes is provided. An added virtual network function having a client and a set of added offering attribute is connected to a first virtual network function from the plurality of virtual network functions. Each initial set of offering attribute and the added offering attribute are advertised to each of the plurality of virtual network functions and the added virtual network function. An aggregate need of the client of the added virtual network function is determined and advertised. A second virtual network function from the plurality of virtual network functions is sought based on the aggregate need of the added virtual network function. The added virtual network function is connected to the second destination virtual network function.

Systems and methods for enhanced intent-based self configuration of virtual network functions

Methods, systems and computer readable media for self-configuration of virtual network functions based on user intent are provided. In a network, a destination with an initial offering having a set of initial offering attributes is provided. A first virtual network function is connected to the destination that is capable of advertising the initial offering. A source having a set of need attributes defined by a user is also provided. The initial offering is advertised, and the source is connected to the first virtual network function. A second virtual network function with an added value is added and a modified offering having a set of modified attributes based on the set of initial offering attributes and the added value is created. The initial offering and the modified offering is advertised to the source. The best offering from the initial offering and modified offering is selected based on the first set of need attributes, the first set of modified offering attributes and the set of initial offering attributes. The first source is then connected to the first best offering.

Systems and methods for intent-based self configuration of virtual network functions

A system for managing systems with interrelated microservices with self-assembling and self-configuring microservices includes a plurality of host resource services microservices, a plurality of directory services microservices and a plurality of tenant microservices. Each of the microservices is provided with an API with a standard way to identify the API and its components, which together identify the functionality of the API in a common way. The host resources service microservice are started up in a host. A determination is made whether there is a directory service microservice running in the host and, if there is none, then spinning up a directory service microservice. A plurality of tenant microservices are installed and a determination is made whether all tenant microservices are running, If not, then copies of the tenant microservices that are not running are spun up.

Self-assembling and self-configuring microservices

The present disclosure provides methods, computer-readable media, and devices for making content recommendations in a manner that protects private user data. In one example, a method includes collecting content consumption history data for a specific user of a telecommunications network, inserting random noise into the content consumption history data to produce anonymized data, sending the anonymized data over a network to a centralized device, receiving correlation data from the centralized device, wherein the correlation data indicates correlations among a plurality of items of content that is available for consumption via the telecommunications network, and predicting a likelihood that the specific user would be interested in a particular item of the plurality of items of content, wherein the predicting is based on the content consumption history data and on the correlation data. The steps may be carried out by a processor of a user endpoint device.

Privacy-aware content recommendations

Systems or methods that may be used to assist in distributed flow whereby each network element obtains information from a server so a first network element has information to determine what network element to connect with to create virtual private network tunnels associated with a virtual private network service.

Growing community of inventors

Atlanta, GA, United States of America

Mohammad Nikain