Abstract: A system described herein may maintain records, in a distributed ledger, that include parameters (e.g., Quality of Service (“QoS”) parameters and/or Multi-Access/Mobile Edge Computing (“MEC”) device management parameters) that are associated with particular applications and/or MEC operator systems. The system may identify a particular record, from the distributed ledger, that is associated with a particular MEC operator system. The particular record may indicate a first set of MEC configuration parameters implemented by the MEC device operator system, and one or more triggers based on which the first set of MEC configuration parameters were implemented by the MEC device operator system. The system may record a set of modified application parameters, that are generated based on the identified first set of MEC configuration parameters and the one or more triggers, to the distributed ledger.

Abstract: A method, a network device, and a non-transitory computer-readable storage medium are described in relation to an edge cloud management service. The edge cloud management service may automate the provisioning, maintenance, supervision across multi-vendor network devices in a private/enterprise environment. Further, the edge cloud management service may provide abstraction and normalization services across multi-vendor components and enable KPI monitoring, location data, edge discovery metrics, end-to-end latency computation across various cloud service provider technologies.

Abstract: Systems and methods described herein provide an application function and interface for a Network Data Analytics Function (NWDAF) to receive, from User Equipment (UE) devices, user data for edge applications. An NWDAF receives an analytics request for user analytics for an edge application and sends, to an Edge Analytics Engine (EAE) associated with an edge location, a data request based on the analytics request. The EAE receives user data from an Edge Enabler Client (EEC) on the UE device that is connected to the edge location. The EAE forwards the user data to the network device. The NWDAF receives the user data responsive to the analytics request and generates an analytics report based on the user data.

Abstract: A system described herein may maintain records, in a distributed ledger, that include parameters (e.g., Quality of Service (“QoS”) parameters and/or Multi-Access/Mobile Edge Computing (“MEC”) device management parameters) that are associated with particular applications and/or MEC operator systems. The system may identify a particular record, from the distributed ledger, that is associated with a particular MEC operator system. The particular record may indicate a first set of MEC configuration parameters implemented by the MEC device operator system, and one or more triggers based on which the first set of MEC configuration parameters were implemented by the MEC device operator system. The system may record a set of modified application parameters, that are generated based on the identified first set of MEC configuration parameters and the one or more triggers, to the distributed ledger.

Abstract: A system described herein may record, to a distributed ledger, information associating a particular application with a particular set of Quality of Service (“QoS”) information. A particular Multi-Access/Mobile Edge Computing (“MEC”) device operator system may access the distributed ledger to identify the information associating the particular application with the particular set of QoS information. The system may read, from the distributed ledger, MEC configuration information indicating that the MEC device operator system has configured one or more MEC devices, of a plurality of MEC devices to provide the particular application in accordance with the particular set of QoS information. The system may select a particular MEC device, from the plurality of MEC devices, based on a request and further based on the MEC configuration information, and may output an indication of the selected particular MEC device in response to the request.

Abstract: A device may receive a consent address from a user device accessing an application that requires application data associated with consent of a user of the user device, and may provide, to the user device, a consent form associated with the consent address. The device may receive, from the user device, user authentication data provided via the consent form and via a first option or a second option, and may provide, to an application server device associated with the application, a notification indicating that the user authentication data was received. The device may provide, to a cloud service provider web services device, an authorization code and an authorization token based on providing the notification. The cloud service provider web services device may cause the application data to be provided to the application server device based on receiving the authorization code and the authorization token.

Abstract: A device may receive a protocol data unit session anchor (PSA) failure alarm associated with a first PSA at a first site with a first edge device, and may receive a PSA active alarm associated with a second PSA at a second site. The device may receive latency data identifying a latency between the first site and the second site, and may determine a failover from the first PSA to the second PSA based on the PSA failure alarm and the PSA active alarm. The device may identify an optimal edge device for the second PSA based on the latency data, and may generate a notification identifying the optimal edge device and the second PSA. The device may provide the notification to a user equipment affected by the failover from the first PSA to the second PSA.

Abstract: An illustrative latency service system identifies, in response to a request by a user equipment (UE) device for performance of a distributed computing service, a latency performance level to which the UE device is subscribed. The system obtains real-time latency performance data for a distributed computing network that is to perform the distributed computing service for the UE device in response to the request, and, based on the real-time latency performance data, determines a characteristic of a geographic zone in which the UE device is located. The characteristic is associated with latency performance that the distributed computing network is capable of providing in the geographic zone. Based on the latency performance level and the characteristic of the geographic zone, the system arranges for the performance of the distributed computing service for the UE device by the distributed computing network. Corresponding methods and systems are also disclosed.

Abstract: An illustrative multi-access server orchestration system determines a subset of a set of multi-access servers associated with a communication network. The subset corresponds to a service area of a network anchor point through which network traffic on the communication network is routed to a client device. The multi-access server orchestration system orders the multi-access servers included within the subset to form an ordered listing of multi-access servers from a most-preferred to a least-preferred multi-access server for fulfilling a service request for the client device. The ordered listing designates a first multi-access server included in the subset and located more proximate to the network anchor point than to the client device to be more highly preferred for fulfilling the service request than a second multi-access server included in the subset and located more proximate to the client device than to the network anchor point. Corresponding methods and systems are also disclosed.

Abstract: A system described herein may provide a technique for the dynamic selection of configurable resources in an environment that includes a hierarchical or otherwise differentiated arrangement of configurable resources. The environment may include, or may be implemented by, a Distributed Resource Network (“DRN”), which may include hardware or virtual resources that may be configured, including the instantiation of containers, virtual machines, Virtualized Network Functions (“VNFs”), or the like. The DRN may be hierarchical in that some resources of the DRN may provide services to, and/or may otherwise be accessible to, a greater quantity of elements of the DRN or some other network.

Abstract: A device may include a processor. The processor may be configured to: assign, within a first wireless network, an access point name (APN) to a first gateway for a shared network. The first wireless network includes the first gateway. A second wireless network includes a second gateway for the shared network, and the second gateway is assigned the APN within the second network.

Abstract: A device may include a processor. The processor may be configured to: assign, within a first wireless network, an access point name (APN) to a first gateway for a shared network. The first wireless network includes the first gateway. A second wireless network includes a second gateway for the shared network, and the second gateway is assigned the APN within the second network.

Abstract: An illustrative latency service system identifies, in response to a request by a user equipment (UE) device for performance of a distributed computing service, a latency performance level to which the UE device is subscribed. The system obtains real-time latency performance data for a distributed computing network that is to perform the distributed computing service for the UE device in response to the request, and, based on the real-time latency performance data, determines a characteristic of a geographic zone in which the UE device is located. The characteristic is associated with latency performance that the distributed computing network is capable of providing in the geographic zone. Based on the latency performance level and the characteristic of the geographic zone, the system arranges for the performance of the distributed computing service for the UE device by the distributed computing network. Corresponding methods and systems are also disclosed.

Abstract: An illustrative multi-access server orchestration system determines a subset of a set of multi-access servers associated with a communication network. The subset corresponds to a service area of a network anchor point through which network traffic on the communication network is routed to a client device. The multi-access server orchestration system orders the multi-access servers included within the subset to form an ordered listing of multi-access servers from a most-preferred to a least-preferred multi-access server for fulfilling a service request for the client device. The ordered listing designates a first multi-access server included in the subset and located more proximate to the network anchor point than to the client device to be more highly preferred for fulfilling the service request than a second multi-access server included in the subset and located more proximate to the client device than to the network anchor point. Corresponding methods and systems are also disclosed.

Abstract: An illustrative multi-access server orchestration system obtains, by way of a communication network, a service request for a client device. The service request indicates a client identity of the client device and represents a request for orchestration of service to be provided to the client device by a multi-access server of a set of multi-access servers associated with the communication network. In response to the service request and based on the client identity, the orchestration system identifies a network anchor point through which network traffic on the communication network is routed to the client device. The orchestration system also determines a subset of the set of multi-access servers. The subset may correspond to a service area of the identified network anchor point and may include one or more multi-access servers capable of fulfilling the service request for the client device. Corresponding methods and systems are also disclosed.

Abstract: A system described herein may provide a technique for the dynamic selection of configurable resources in an environment that includes a hierarchical or otherwise differentiated arrangement of configurable resources. The environment may include, or may be implemented by, a Distributed Resource Network (“DRN”), which may include hardware or virtual resources that may be configured, including the instantiation of containers, virtual machines, Virtualized Network Functions (“VNFs”), or the like. The DRN may be hierarchical in that some resources of the DRN may provide services to, and/or may otherwise be accessible to, a greater quantity of elements of the DRN or some other network.

Abstract: A system described herein may provide a technique for the dynamic selection of configurable resources in an environment that includes a hierarchical or otherwise differentiated arrangement of configurable resources. The environment may include, or may be implemented by, a Distributed Resource Network (“DRN”), which may include hardware or virtual resources that may be configured, including the instantiation of containers, virtual machines, Virtualized Network Functions (“VNFs”), or the like. The DRN may be hierarchical in that some resources of the DRN may provide services to, and/or may otherwise be accessible to, a greater quantity of elements of the DRN or some other network.