Abstract: Determining and using elevation of a user device can include generating router location data that comprises an identifier that identifies a router that is located at a geographic location and data that specifies an elevation at which the router is located at the geographic location and detecting an elevation data request. The elevation data request can identify the router and can be associated with a user device. The router location data can be queried to determine the elevation at which the router is located. Based on the elevation at which the router is located, elevation data can be generated. The elevation data can indicate the elevation at which the router is located and the elevation data can be sent to the user device.

Abstract: Aspects of the subject disclosure may include, for example, a radio device that has first and second subscriber identity modules; radio resources; a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of establishing a first communications network connection associated with the first subscriber identity module; establishing a second communications network connection associated with the second subscriber identity module; determining a communications activity on the first communications network connection; pausing or suspending activities of the second communications network connection; and blocking use of the radio resources by the second communications network connection. Other embodiments are disclosed.

Abstract: Predicting and using threat levels for cyber threats using data from public data sources can include obtaining cyber vulnerability and threat data (“threat data”) from publicly available data sources including a social networking service, the threat data including social networking messages. A threat that is predicted to exploit a vulnerability can be determined based on the threat data. Filtered threat data that includes social networking messages that mention the threat can be stored. A threat assessment service can analyze the filtered threat data to determine a mention trend for the threat, a severity score for the threat, an exploitation history for the threat, and a patch availability for rectifying the threat. Based on the mention trend, the severity score, the exploitation history, and the patch availability, a predicted threat level for the threat can be used to generate an alert, which can be sent to a subscriber device.

Abstract: Aspects of the subject disclosure may include, for example, a database being maintained that has information indicating states of network resources, which can be determined based on physical activities, logical activities and hybrid activities performed on or by the network resources; obtaining activity information for a particular network resource, where the activity information is a physical activity, a logical activity and/or a hybrid activity; and determining whether a state change for the particular network resource should be made such as to whether the activity information corresponds to and warrants change to at least one of an inventory state, an operational state, or a detailed state. Other embodiments are disclosed.

Abstract: The concepts and technologies disclosed herein are directed to software-defined wide-area network (“SD-WAN”) self-service for service assurance. The proposed SD-WAN self-service solution can be used for any policy-driven system that automatically troubleshoots the problems resulting from hybrid SD-WAN network activities, including virtual private network (“VPN”), IP tunnel, IPSec, and security policies. According to one aspect disclosed herein, a method can check network configurations, analyze switch responses, and locate network problems quickly. Moreover, the method can test the functionality of a rules-based troubleshooting software effectively without employing expensive testing equipment and with minimal human intervention.

Abstract: Aspects of the subject disclosure may include, for example providing virtual links and/or virtual content to metaverse users based at least in part on the metaverse user's physical location and/or viewing direction. Low resolution images of physical objects expected to be in a field of view of a metaverse user may be matched to actual images of physical objects in a metaverse user's field of view prior to providing virtual links and/or virtual content. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving a first request for a first communication service from a first end user device operated by a first user, where the first request provides or can be utilized to obtain first service information associated with first service parameters corresponding to the first user according to a first root ID provided to the first end user device by the first user; providing, over a network, first immersive media for presentation by the first end user device in response to the first request, where the first immersive media is provided utilizing the first network slice, the first spectrum resource allocation, and the first RAT that are selected according to the first service parameters. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving, via a fiber, first data from a first user equipment using a first secondary subcarrier included in a first plurality of secondary subcarriers, the first plurality of secondary subcarriers being included as part of a first primary subcarrier, and transmitting, via the fiber, second data to a second user equipment using a second secondary subcarrier included in a second plurality of secondary subcarriers, the second plurality of secondary subcarriers being included as part of a second primary subcarrier that is different from the first primary subcarrier. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, determining, by an end user device, a destination location for the end user device; determining, by the end user device, frequency band data for the destination location according to connection data stored in a memory of the end user device; responsive to or after exiting an airplane mode of the end user device, scanning, by the end user device, bands of a cellular network providing coverage to the destination location, where the scanning is according to the frequency band data; and attaching, by the end user device, to a cell of the cellular network based on the scanning of the bands. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a base transceiver station having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of registering a wireless optical networking device with a fiber optic central office, wherein the registering uses a public land mobile network identifier that uniquely identifies a fiber optic network; encapsulating fiber signaling data for the wireless optical networking device received from the fiber optic central office; and transmitting the fiber signaling data via a radio bearer over an unlicensed radio spectrum to the wireless optical networking device. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system automatically downloads a software application and a routing map to a robot of a smart home (SH) in a smart community (SC); the application facilitates communication between the robot and a smart home controller (SHC) of the SH, and the routing map facilitates determining by the robot of a route to the SH when the robot is at a location outside a preconfigured range of operation for the robot. The method also includes initiating a procedure for dispatching to the location of the robot a carrier robot to transport the robot to the SH, responsive to a request for transport of the robot; the request is directed to the SHC using the software application, and the request is in accordance with the robot not being configured for autonomous movement. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, initiating a presence within first metaverse environment, wherein the presence includes a correlation between a physical stimulation of a human interface and first virtual stimuli occurring within the first metaverse environment. A virtual interconnection is initiated between the first metaverse environment and a second metaverse environment including second virtual stimuli occurring within the second metaverse environment. A virtual interaction is determined between the first metaverse environment and the second metaverse environment according to the virtual interconnection and an adjusted virtual stimulus occurring within the first metaverse environment is determined responsive to the virtual interaction between the first metaverse environment and the second metaverse environment.

Abstract: Aspects of the subject disclosure may include, for example, providing immersive media to a computing device over a network utilizing a first network slice, a first spectrum resource allocation, and/or a first RAT; obtaining a metaverse profile associated with the user, which includes information defining or associated with user capabilities and content presentable in the immersive media; processing or initiating a different network slice, a different spectrum resource allocation, and/or a different RAT based on the metaverse profile; and continuing providing the immersive media to the computing device. Other embodiments are disclosed.

Abstract: A processing system including at least one processor may obtain a first ontology of a first type of data pipeline component, map the first ontology to a second ontology for a second type of data pipeline component that is stored in a catalog of data pipeline component types, provide a second data schema for the second type of data pipeline component as a template for a first data schema for the first type of data pipeline component, and add the first type of data pipeline component to the catalog of data pipeline component types, where the adding comprises storing the first ontology and the first data schema for the first type of data pipeline component in the catalog of data pipeline component types.

Abstract: An example method includes calculating a plurality of scores for a test media clip using a plurality of authenticity algorithms, where the test media clip depicts a person, and wherein each authenticity algorithm of the plurality of authenticity algorithms generates a respective score of the plurality of scores which indicates a likelihood that the test media clip is authentic, testing each authenticity algorithm of the plurality of authenticity algorithms against a plurality of historical media clips, in order to determine, for the each authenticity algorithm, a reliability of the each algorithm in terms of being able to estimate authenticity, deriving a plurality of weights based on the testing, wherein each weight of the plurality of weights is associated with one algorithm of the plurality of authenticity algorithms, and computing a cumulative authenticity score for the test media clip, by aggregating the plurality of scores weighted by the plurality of weights.

Abstract: Aspects of the subject disclosure may include, for example, system and apparatus that enable operations that may include receiving, by a processing system, project data defining a proposed machine learning (ML) project of an entity and storing the project data in a project database with other project data for other projects. The operations may further include extracting extracted features of the proposed project and, based on the extracted features, determining a clustering assignment for the proposed project. Determining the clustering assignment may comprise comparing information about the proposed project including the extracted features with information about the other projects and assigning the proposed project to a cluster including one or more projects having similar bias characteristics as the proposed project. The operations may further include determining a risk of potential bias for the proposed project and, based on the risk of bias, recommending a corrective action to reduce the risk of bias.

Abstract: Aspects of the subject disclosure may include, for example, receiving first defining information for a first metaverse, receiving second defining information for a second metaverse, automatically identifying conflicts between the first defining information and the second defining information, automatically negotiating resolution of the conflicts between the first defining information and the second defining information to define rules for a merged metaverse, merging the first metaverse and the second metaverse according to the rules for the merged metaverse to define a destination metaverse, and interacting with a plurality of users to create for the plurality of users an immersive experience in the destination metaverse. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, determining characteristics of autonomous devices, detecting an area in which wireless services provided are deficient, and causing an autonomous device to move to the area and extend wireless coverage in the area. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method that includes obtaining media content from a content provider via a communication network that includes cells each associated with user equipment devices (UEs); obtaining information from a network element of the communication network, where the information includes cell load data for each of the cells and mapping data for the cells and associated UEs, and is collected by the network element in real time; determining that a cell is congested based on the information; performing, for a UE of the congested cell, a congestion shaping (CS) procedure that includes a shaping level for a media content flow associated with that UE; and adjusting the CS procedure based on additional information provided by the network element in real time or near-real time. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first network performance data characterizing a wireless network, wherein the wireless network provides one or more users of a plurality of users access to a collection of servers that enable a plurality of services; obtaining second network performance data characterizing a wired network, wherein the wired network provides the one or more users access to the collection of servers that enable the plurality of services; obtaining first service performance data characterizing a first service of the plurality of services that are enabled by the collection of servers; obtaining first service requirements of the first service; and responsive to a first user of the one or more users indicating a preference to utilize the first service, selecting one of the wireless network or the wired network as a selected network for the first user, wherein the selecting of the selected network is based upon the first network performance data, the second networ

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system obtains information from a network element of a communication network that includes cells each associated with user equipment devices (UEs); the information includes mapping data for each of the cells and the UEs associated with the respective cells, and the network element is in communication with the processing system via the communication network. The method also includes generating a historical record of cell load data representing content distributed to the cells from the processing system; determining that a cell is congested, based on the historical record; and performing a congestion shaping (CS) procedure for each of the UEs associated with the congested cell. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first identification of a first application executed by a first user equipment as part of the first user equipment obtaining a first communication service, determining, based on the obtaining of the first identification of the first application, a first requirement pertaining to latency associated with data transfer operations as part of the first communication service, determining, based on the obtaining of the first identification of the first application, a second requirement pertaining to reliability associated with the data transfer operations, processing at least the first requirement and the second requirement to select a first value for a first parameter pertaining to a number of retransmissions that are to be associated with the data transfer operations, and configuring the first user equipment per the first value. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device including a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of receiving a query for 5G Session Management Functions (SMFs) to handle a connection request, wherein the query includes a slice ID and data network name; determining a list of SMFs that each have a blockchain ID immutably recorded on a blockchain, wherein the blockchain ID is authorized to provide service to the slice ID; and sending, responsive to the query, the list of SMFs. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system generates a mapping record including static mapping data for cells in a communication network and user equipment devices associated with those cells. The method also includes obtaining cell load data representing video content distributed to the cells from the processing system; determining, based on the cell load data, that a cell is congested; identifying user equipment devices associated with the congested cell; and performing, for each of the user equipment devices associated with the congested cell, a congestion shaping (CS) procedure that includes a shaping level for a video content flow associated with that user equipment device. Other embodiments are disclosed.

Abstract: A smart communications hub can enable management of driverless and/or autonomous vehicles. Separating current wireless data from driverless vehicle sensor data can allow for quicker resolutions involving driverless vehicles. The smart communications hub can communicate to other groups such as driverless vehicle providers, service providers, vehicle management, law enforcement, etc. The smart communications hub can also process request from both mobile applications and micro-service applications.

Abstract: Systems and methods are disclosed for parallelizing service function chains.

Abstract: Aspects of the subject disclosure may include, for example, obtaining, from a user device, a master-slave agreement and a first network configuration for a federated blockchain network, transmitting to a cloud service provider (CSP) node the first network configuration, generating first credentials, and transmitting the first credentials to the CSP node. The CSP node configures a first group of blockchain nodes according to the first network configuration and the first credentials. Further embodiments include transmitting the first credentials to a public server that sends it to a public blockchain node and an indication to generate a portion of the federated blockchain network. The public blockchain node configures a second group of blockchain nodes according to a second network configuration based on a public blockchain smart contract. The federated blockchain network comprises the first group of blockchain nodes and the second group of blockchain nodes. Other embodiments are disclosed.

Abstract: An example method includes receiving a first signal indicating that a user of a first user endpoint device wishes to engage in a data transfer with a second device over a communication network, estimating at least one metric associated with the data transfer, sending the at least one metric associated with the data transfer to a remote server, and initiating the data transfer with the second device in accordance with a temporarily adjusted throughput that is adjusted by the remote server in response to the at least one metric associated with the data transfer.

Abstract: Data stream based event sequence anomaly detection for mobility customer fraud analysis is presented herein. A system obtains a sequence of events comprising respective modalities of communication that correspond to a subscriber identity associated with a communication service—the sequence of events having occurred within a defined period. Based on defined classifiers representing respective fraudulent sequences of events, the system determines, via a group of machine learning models corresponding to respective machine learning processes, whether the sequence of events satisfies a defined condition with respect to likelihood of representing a fraudulent sequence of events of the respective fraudulent sequences of events. In response to the sequence of events being determined to satisfy the defined condition, the system sends, via a user interface of the system, a notification indicating that the sequence of events has been determined to represent the fraudulent sequence of events.

Abstract: According to one or more embodiments, a system can comprise a processor and a memory that can store executable instructions that, when executed by the processor, facilitate performance of operations. The operations can include establishing a wireless connection to a wireless network. The operations can further include receiving, via the wireless connection, data from a gateway device, that has been communicated via a network device of a publicly accessible network, wherein the data has been compared, by the gateway device, to a template of anomalous activity.

Abstract: A method includes monitoring environmental conditions surrounding a moving vehicle, using an on-board sensor of the moving vehicle, detecting that at least one of the environmental conditions surrounding the moving vehicle is likely to impair visibility for a driver of the moving vehicle, based on an output of the on-board sensor, acquiring static map data for a location surrounding the moving vehicle, acquiring real time sensor data for the location surrounding the moving vehicle, where the real time sensor data comprises outputs of a plurality of on-board sensors of a plurality of other vehicles, generating an augmented reality view of the location surrounding the moving vehicle, using the static map data, the real time sensor data, and the output of the on-board sensor, and displaying the augmented reality view of the location surrounding the moving vehicle on a display within the moving vehicle.

Abstract: Aspects of the subject disclosure may include, for example, a routing device in a network, the routing device including an ingress/egress linecard; another linecard; a fabric; a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of maintaining a forwarding information base (FIB) for routes through the routing device; moving low-volume routes of the FIB to the another linecard; and moving high-volume routes of the FIB to the ingress/egress linecard, wherein the ingress/egress linecard looks up a route of an incoming data packet, determines whether the incoming data packet bears a high-volume route prefix, forwards the incoming data packet bearing the high-volume route prefix through the fabric and out of the routing device, and sends the incoming data packet bearing a low-volume route prefix through the fabric to the another linecard, and wherein the another linecard forwards the incoming d

Abstract: A method includes obtaining a first plurality of encrypted traffic flows traversing a communication network, performing a first classification, wherein a result of the first classification identifies a traffic type associated with each encrypted traffic flow of the first plurality of encrypted traffic flows, and wherein the first classification is based on a traffic pattern of the each encrypted traffic flow, performing a second classification, wherein a result of the second classification identifies a traffic type associated with each server name indication from which the first plurality of encrypted traffic flows is associated, and wherein the second classification is based on the result of the first classification, and performing a third classification identifying a traffic type associated with each encrypted traffic flow of the first plurality of encrypted traffic flows, wherein the third classification is based on a combination of the results of the first classification and the second classification.

Abstract: Aspects of the subject disclosure may include, for example, receiving avatar definition information from a user, the avatar definition information defining aspects of a user avatar to represent the user in an immersive experience in a first metaverse; activating the user avatar in the first metaverse, the user avatar defined according to the avatar definition information; and activating the user avatar in a second metaverse, the user avatar representing the user in the second metaverse, the user avatar defined in the second metaverse according to the avatar definition information, the activating the user avatar in the second metaverse being responsive to a request from the user to change from the first metaverse to the second metaverse. Other embodiments are disclosed.

Abstract: The concepts and technologies disclosed herein are directed to automated deployment and management of network functions in multi-vendor cloud networks. A service provider system can create at least one repository structure to hold at least one pipeline, at least one artifact, at least one image, and code used to create a network function defined by a vendor. The service provider system can create a secrets management structure for the network function. The service provider system can define a schema to support environment variables for a network function type of the network function. The service provider system can create instance specific data to satisfy the schema required for the network function type and can store the at least one artifact into a framework defined during a design phase. The service provider system can instruct the at least one repository structure to exhibit version control and change management behavior.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first data indicative of a first location of a first physical robot operating in a smart community, obtaining second data indicative of a second location of a second physical robot operating in the smart community, obtaining third data indicative of a third location of a third physical robot operating in the smart community, obtaining a request for assistance from the first physical robot; and responsive to obtaining the request for assistance: determining a first time interval that would be required for the second physical robot to reach the first physical robot at the first location; determining a second time interval that would be required for the third physical robot to reach the first physical robot at the first location; determining which of the first time interval and the second time interval is smaller; in a first case that the first time interval is smaller, selecting as a selected physical robot the second physical robot; in a sec

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system determines that performance of a service is required at a first location in a smart community; identifies a robot to be transported, and determines whether physical transport or virtual transport is to be performed for the robot. If physical transport is to be performed, the system initiates communication with a robot transport controller to schedule the physical transport to the first location from a different second location. If virtual transport is to be performed, the processing system initiates communication with a radio access network (RAN) to schedule the virtual transport; the virtual transport includes configuring the robot at the first location. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining CBRS information from SAS equipment, where the CBRS information includes channel assignments associated with different coverage locations; and providing the channel assignments to one or more EMSs according to the CBRS information to enable CBRS devices to provide communication services including handoffs via the channel assignments to one or more end user devices in coverage areas of the one or more CBRS device. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, accessing device usage data that can be generated when end user devices connect with the network; and analyzing the device usage data according to identification information of the deployable cell site, which enables determining or estimating a location of the deployable cell site. In one embodiment, this analysis can be based on device usage reports and network performance data. A performance report and/or location map can be generated for an area associated with the deployable cell site. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, registering a mobile device with a mobile communication network as a roaming network, the roaming network communicating with a home network associated with the mobile device to complete the registering, initiating access to a service on the roaming network, retrieving information about access permission status of the service for the mobile device on the roaming network; responsive to the information about access permission status of the service having a value that corresponds to denial of the service on the roaming network because the service is not approved for operation on the roaming network, providing an indication to a user of the mobile device that the service is not available, and suspending further access to the service on the roaming network. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a radio frequency hotspot device including a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of: registering the device in a network using a hotspot miner tag that uniquely identifies the device; establishing a backhaul in the network for providing Internet connectivity responsive to receiving authorization to operate the backhaul in the network; providing coverage in a first RF spectrum to mobile devices operating in the first RF spectrum; and tagging traffic of the mobile devices sent over the backhaul, wherein the tagging comprises the hotspot miner tag and an index tag that identifies a type of the traffic and a mobile device sending the traffic. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, detecting conditions of an operating environment of a user equipment device (UE); determining that the operating environment is an adverse environment; and providing a signal to an artificial intelligence (AI) engine on the UE regarding the adverse environment; the AI engine, responsive to the signal, obtains from a database on the UE a list of procedures for improving the performance of the UE and creates a strategy that specifies one or more of the listed procedures to be performed; one of the specified procedures comprises switching between a use of a first technology for improving the performance of the UE and a use of a second technology for improving the performance of the UE. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, facilitating a registration process such as by storing service information associated with a group of providers, which can include location information associated with the equipment, Data Network Name (DNN), Public Land Mobile Network (PLMN), and/or Single-Network Slice Selection Assistance Information (S-NSSAI). A service process can include wirelessly receiving a service request from a communication device, where the service request identifies a particular service and includes location information of the communication device; selecting a provider from among the group of providers according to the service request and the stored service information; and wirelessly providing provider information for the provider to the communication device that includes the corresponding DNN and the S-NSSAI of the provider, whereby the communication device can then attach to the corresponding equipment of the provider and obtain the particular service.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first E-UTRAN cell global identifier (ECGI) associated with an aerial base station (ABS), determining a location of the ABS, and determining that a terrestrial base station (TBS) is within a distance threshold of the location of the ABS. Further embodiments include providing the first ECGI of the ABS to the TBS, and providing instructions to the TBS to indicate to each terrestrial communication devices (TCDs) communicatively coupled to the TBS to add a cell individual offset (CIO) factor to a first signal strength associated with a first signal received from the ABS. The TBS provides instructions to each of the TCDs to add a CIO factor to the first signal strength associated with the first signal received from the ABS. The second instructions includes the first ECGI associated with the ABS. Other embodiments are disclosed.

Abstract: Providing and using a digital asset delivery service can include obtaining a digital asset delivery request that identifies a digital asset that is to be provided to a recipient device, the recipient device, and delivery requirements associated with providing the digital asset to the recipient device. A data source and a network resource via which the data source is to provide the digital asset to the recipient device can be determined, where the data source and the network resource are capable of satisfying the delivery requirements. A ledger that includes instructions for constructing the digital asset at the recipient device can be provided to the recipient device. Delivery of the digital asset to the recipient device by the data source can be triggered, and delivery of the digital asset to the recipient device by the data source can be tracked using a token.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first, second, and third data associated with respective first, second, and third physical robots operating in a smart community (wherein the first data comprises a first historical listing of first tasks that had been performed by the first physical robot, wherein the second data comprises a second historical listing of second tasks that had been performed by the second physical robot, wherein the first tasks and the second tasks include a common task, wherein the third data comprises an indication of a current task being performed by the third physical robot, and wherein the current task is the common task); predicting, based upon the first, second, and third data, a future task that will be performed by the third physical robot (wherein the future task that is predicted is a task selected from the first tasks and the second tasks); selecting, based upon the future task that is predicted, a downloadable service that can be used by the thi

Abstract: Aspects of the subject disclosure may include, for example, identifying a first type of a first communication service requested by a first user equipment, resulting in a first identification, providing, based on the first identification, at least a first profile to the first user equipment, obtaining, based on the providing, a selection of a profile included in the at least a first profile, and invoking at least a first action in accordance with the selection, wherein the invoking of the at least a first action comprises: allocating a first network resource in conjunction with the first communication service, configuring the first user equipment with a first parametric value, or a combination thereof. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, initiating a data request over a mobile network, and identifying a group of parameters associated with the data request. Further embodiments include selecting a first active network associated with a first active access point name (APN) (or data network name (DNN) from a group of networks based on the group of parameters, and the mobile network comprises the group of networks. Additional embodiments include identifying a first access point for the first active network associated with the first active APN/DNN, and establishing a first data communication session associated with the data request to a first group of communication devices communicatively coupled to the first active network via the first access point. Other embodiments are disclosed.

Abstract: A flow logging utility tracer (“FLUTE”) system can present a FLUTE user interface through which the FLUTE system can receive a trace request. The FLUTE system can interface, via a FLUTE controller, with a FLUTE adapter corresponding to a cloud environment associated with the trace request. The FLUTE adaptor can extract event log data from a log repository corresponding to the cloud environment. The FLUTE adapter can filter the event log data according to a logging specification. The FLUTE adapter can transform the filtered event log data for compatibility with a FLUTE stitcher. The FLUTE stitcher can generate tracing data based upon the event log data. The FLUTE stitcher can correlate the tracing data based upon a common identifier enforced by the logging specification, prepare the tracing data for publication to a distributed tracing system, and publish the tracing data to the distributed tracing system for storage.

Abstract: The concepts and technologies disclosed herein are directed to alarm correlation and ticketing for reconfigurable optical add/drop multiplexer (“ROADM”) networks. According to one aspect disclosed herein, a ROADM controller can create, based upon data associated with a plurality of ROADM network elements operating in a ROADM network, a graph of the plurality ROADM network elements. The ROADM controller can retrieve a plurality of alarms from at least a portion the plurality of ROADM network elements, associate the plurality of alarms with at least the portion of the plurality of ROADM network elements, and associate a direction of each alarm with a corresponding service direction. The ROADM controller can eliminate any alarms with a time stamp outside of a same time window. The ROADM controller can then determine that any remaining alarms are associated with a root cause of a failure within the ROADM network.