Abstract: Disclosed are systems and methods for improving interactions with and between computers in content providing, streaming and/or hosting systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel conference framework that automatically determines and prioritizes speaker allocation within a conference in order to remedy and/or avoid conflicts between speakers so that a clear and decisive dialog can occur. The disclosed conference framework balances a determined weighting factor and queue management ranking of the conference to provide a prioritized speaker queue that enables all participants to speak without conflict or interruption. The disclosed systems and methods enable a prioritized, conflict-resolution based conferencing environment where orderly conferencing can occur while maintaining each participants rights to participate accordingly.

Abstract: Provided are systems and methods for performing dynamic spectrum allocation and state shifting in order to provide high quality stateful services to user equipment (“UE”) that access the stateful services from different network locations. The dynamic spectrum allocation and state shifting may include tracking mobility of a UE accessing a stateful service using a first allocation of spectrum from a first Radio Access Network (“RAN”), predicting continued stateful service access via a second RAN, determining latency requirements of the stateful service, selecting a second allocation of spectrum at the second RAN with a frequency range that provides a first amount of latency, transferring the stateful service state to a Multi-Access Edge Computing (“MEC”) location that provides a second amount of latency for services accessed via the second RAN such that the first and second amounts of latency satisfy the performance requirements of the stateful service.

Abstract: Systems and methods provide an adaptive avatar-based real-time holographic communication service. End devices implement a customized avatar for holographic communications. With the assistance of a network edge platform, a user's facial motions and gestures are extracted in real time and applied to the customized avatar in the form of an augmented-reality-based or virtual-reality-based holographic entity. When a connection to the network edge platform is interrupted or not available, a master holographic entity provides a graceful fallback to a less resource-intensive avatar presentation using, for example, a user's prerecorded motions as a basis for rendering avatar movement. The customized avatar may be automatically adjusted/altered depending on with whom a user is communicating (e.g., a friend vs. a business associate) or a purpose for the communication (e.g., a professional meeting vs. a social activity).

Abstract: Systems and methods provide an intelligent vehicle to everything (iV2X) service that ensures robust communication of teleoperations and other data. An edge slice proxy system is used to incorporate edge platforms into network slicing considerations. A network device may receive a request for a connection from an end device, such as a vehicle requiring the iV2X service, via wireless signals. The network device may detect that the request is a request for an iV2X service and assign the end device to a network slice that supports stateful and robust iV2X services. The network slice may include one of the virtual network functions executed on the edge platform.

Abstract: Systems and methods described herein perform computer vision (CV) model training in a distributed edge network. Regional Multi-access Edge Compute (MEC) clusters are provided with a local copy of a CV model and a local synthetic training data generator. A MEC cluster receives client data requiring computer vision and applies the local copy of the CV model to the client data. The MEC cluster detects an exception to the local copy of the CV model and generates local synthetic training data for the exception. The MEC cluster updates, based on the local synthetic training data, the local copy of the CV model to form an updated local CV model. The MEC cluster sends the local synthetic training data and the updated local CV model to a central network. The central network uses the local synthetic training data to update a master CV model and any other interconnected CV models.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content providing, streaming and/or hosting systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel conference framework that automatically determines and prioritizes speaker allocation within a conference in order to remedy and/or avoid conflicts between speakers so that a clear and decisive dialog can occur. The disclosed conference framework balances a determined weighting factor and queue management ranking of the conference to provide a prioritized speaker queue that enables all participants to speak without conflict or interruption. The disclosed systems and methods enable a prioritized, conflict-resolution based conferencing environment where orderly conferencing can occur while maintaining each participants rights to participate accordingly.

Abstract: Provided are systems and methods for performing dynamic spectrum allocation and state shifting in order to provide high quality stateful services to user equipment (“UE”) that access the stateful services from different network locations. The dynamic spectrum allocation and state shifting may include tracking mobility of a UE accessing a stateful service using a first allocation of spectrum from a first Radio Access Network (“RAN”), predicting continued stateful service access via a second RAN, determining latency requirements of the stateful service, selecting a second allocation of spectrum at the second RAN with a frequency range that provides a first amount of latency, transferring the stateful service state to a Multi-Access Edge Computing (“MEC”) location that provides a second amount of latency for services accessed via the second RAN such that the first and second amounts of latency satisfy the performance requirements of the stateful service.

Abstract: Systems and methods provide an intelligent vehicle to everything (iV2X) service that ensures robust communication of teleoperations and other data. An edge slice proxy system is used to incorporate edge platforms into network slicing considerations. A network device may receive a request for a connection from an end device, such as a vehicle requiring the iV2X service, via wireless signals. The network device may detect that the request is a request for an iV2X service and assign the end device to a network slice that supports stateful and robust iV2X services. The network slice may include one of the virtual network functions executed on the edge platform.

Abstract: Provided are systems and methods for performing dynamic spectrum allocation and state shifting in order to provide high quality stateful services to user equipment (“UE”) that access the stateful services from different network locations. The dynamic spectrum allocation and state shifting may include tracking mobility of a UE accessing a stateful service using a first allocation of spectrum from a first Radio Access Network (“RAN”), predicting continued stateful service access via a second RAN, determining latency requirements of the stateful service, selecting a second allocation of spectrum at the second RAN with a frequency range that provides a first amount of latency, transferring the stateful service state to a Multi-Access Edge Computing (“MEC”) location that provides a second amount of latency for services accessed via the second RAN such that the first and second amounts of latency satisfy the performance requirements of the stateful service.

Abstract: A method, a device, and a non-transitory storage medium are described in which an edge computing-based teleoperations service is provided. An edge network device may select an active and one or multiple backup remote-controlling devices in support of a teleoperations service session. The edge network device may include artificial intelligence to learn remote-controlling functions based on communications relayed between a remote-controlled device and the active remote-controlling device. The edge network device may use the learned remote-controlling functions during a failover procedure or other triggering network event.

Abstract: Systems and methods described herein perform computer vision (CV) model training in a distributed edge network. Regional Multi-access Edge Compute (MEC) clusters are provided with a local copy of a CV model and a local synthetic training data generator. A MEC cluster receives client data requiring computer vision and applies the local copy of the CV model to the client data. The MEC cluster detects an exception to the local copy of the CV model and generates local synthetic training data for the exception. The MEC cluster updates, based on the local synthetic training data, the local copy of the CV model to form an updated local CV model. The MEC cluster sends the local synthetic training data and the updated local CV model to a central network. The central network uses the local synthetic training data to update a master CV model and any other interconnected CV models.

Abstract: A method, a system, and a non-transitory storage medium are described in which a health monitoring, analyzing, and response service is provided. The service may ingest monitoring information from end devices. The service may assign an adaptive weight value to each instance of monitoring information based on profile information pertaining to the end device. The profile information may include operational characteristics information and rating information. The service may aggregate the monitoring information based on the adaptive weight values to produce a weighted health or state value. The service may analyze and determine a health or condition of a person or object. The service may also generate response information reactive to the determined health or condition.

Abstract: Systems and methods provide an adaptive avatar-based real-time holographic communication service. End devices implement a customized avatar for holographic communications. With the assistance of a network edge platform, a user's facial motions and gestures are extracted in real time and applied to the customized avatar in the form of an augmented-reality-based or virtual-reality-based holographic entity. When a connection to the network edge platform is interrupted or not available, a master holographic entity provides a graceful fallback to a less resource-intensive avatar presentation using, for example, a user's prerecorded motions as a basis for rendering avatar movement. The customized avatar may be automatically adjusted/altered depending on with whom a user is communicating (e.g., a friend vs. a business associate) or a purpose for the communication (e.g., a professional meeting vs. a social activity).

Abstract: Provided are systems and methods for performing dynamic spectrum allocation and state shifting in order to provide high quality stateful services to user equipment (“UE”) that access the stateful services from different network locations. The dynamic spectrum allocation and state shifting may include tracking mobility of a UE accessing a stateful service using a first allocation of spectrum from a first Radio Access Network (“RAN”), predicting continued stateful service access via a second RAN, determining latency requirements of the stateful service, selecting a second allocation of spectrum at the second RAN with a frequency range that provides a first amount of latency, transferring the stateful service state to a Multi-Access Edge Computing (“MEC”) location that provides a second amount of latency for services accessed via the second RAN such that the first and second amounts of latency satisfy the performance requirements of the stateful service.

Abstract: A Personal Black Box (PBB) of data (and information) in a network (e.g., the Internet) is established and managed. The PBB can utilize both Personally Identifiable Information (PII) and other associated information from the public Clouds/Data-Centers to create a Personal Data Store (PDS). The PDS may contain any or all of public, private, and secret data. Authenticated access to the private data blocks may be allowed. The secret data blocks aw not accessible except by the legitimate owner(s) of the data. The PBB allows partitioning of the data based on many factors including sensitivity and ownership. It is also possible to spoof potential backers by actively inviting them into a game of sharing data, tools and techniques.

Abstract: The disclosure relates to a method and system for virtualized network entity (VNE) based network operations and support system (NOSS). The fundamental entity of network operations is VNE. Each VNE provides the necessary computing, storage, and networking features/functions that are desired by the applications (apps) or services. The apps and services provide initial, normal/nominal and overload scenario(s) based VNE configuration request to the NOSS, and the NOSS offers one or more VNE based apps/services support configuration that can be activated flexibly based on the dynamic demands. The requirements and sample operations of the NOSS, for example, attachment of virtualized layer-3 network entities to NOSS via open and interoperable interfaces, are described.

Abstract: Methods and a system for migrating a network segment from one technology and/or admin domain to another may involve migrating software, hardware, and the management system from one administrative domain and/or paradigm to another. It is possible to achieve both real-time migration and soft-migration (e.g., by using transition gateway) of a network segment beginning from a set of logical and physical ports (including topology) to service specific flow level migration.

Abstract: A method for virtualizing the commonly used network (ISO layer-3) entities is described. The entities include router, routing/topology database, firewall, load balancer, etc. The virtualization paradigm helps network-aware services and devices to be more effective, and it is equally attractive for service-/device-aware networks. In terms of using the network entities, the Applications and Services can utilize either virtual entities or physical entities or a combination of both in order to gracefully support service experience, overload and faults, seamlessly.

Abstract: This patent application describes an intelligent method/system for flow classification for network and service function chaining. A chain is an ordered sequence of network/service entities. However, the method described here can be equally applied to any unordered sequence (a group) of network/service entities as well. The Network functions (NFs) can be physical or virtual or a combination of both in the chained path. The Service functions (SFs) can be physical or virtual or a combination of both in the chained path. The proposed Classifier is intelligent in the sense that it learns and adapts to the requirements of the flows (or a stream of packets), and significantly improves the pre-processing time (and overheads) for flow classification, and hence forwarding.

Abstract: In a method and apparatus for operating a virtual topology, a control entity receives a request to establish a virtual topology between specified endpoints, and the control entity and domain controllers assemble resources forming a virtual topology consistent with the requested virtual topology through domains controlled by the domain controllers between specified endpoints.