Abstract: A system for collecting discarded alarm includes a non-transitory computer readable medium configured to store instructions thereon. The system further includes a processor connected to the non-transitory computer readable medium. The processor is configured to execute the instructions for receiving alarm data from a device within a telecommunication network. The processor is further configured to execute the instructions for determining whether the alarm data is missing identifying information. The processor is further configured to execute the instructions for subjecting the alarm data to suppression in response to a determination that the alarm data is missing at least one piece of identifying information. The processor is further configured to execute the instructions for generating instructions for addressing an alarm in response to a determination that the alarm data includes all identifying information.

Abstract: Techniques are described for determining a likelihood that a customer communication is fraudulent using one or more machine learning models. For example, a computing system includes a memory and one or more processors in communication with the memory. The one or more processors are configured to: receive a set of emotion factor values for communication data of a current communication associated with a customer, wherein each emotion factor value indicates a measure of a particular emotion factor in the current communication; classify, using an emotion variance model running on the one or more processors, the current communication into an emotional fraud category based on the set of emotion factor values for the current communication associated with the customer; and determine a risk score for the current communication indicative of a probability that the current communication is fraudulent based on at least the emotional fraud category for the current communication.

Abstract: A device receives, from a cloud computing environment, cloud instance information associated with cloud instances in the cloud computing environment, and processes the cloud instance information, with a machine learning model, to determine containers for one or more of the cloud instances and whether cloud instances should be removed from the cloud computing environment. The device causes a first subset of the cloud instances to be removed from the cloud computing environment, based on determining which of the cloud instances should be removed, and causes the containers to be created for a second subset of the cloud instances based on determining the containers. The device receives, from the cloud computing environment, cloud container information associated with the containers created in the cloud computing environment, and causes one or more of the containers to be scaled based on the cloud container information.

Abstract: Systems and methods of the present disclosure are directed to a computer-implemented method. The method can include obtaining a first image depicting a first object and a second image depicting a second object, wherein the first object comprises a first feature set and the second object comprises a second feature set. The method can include processing the first image with a machine-learned image transformation model comprising a plurality of model channels to obtain a first channel mapping indicative of a mapping between the plurality of model channels and the first feature set. The method can include processing the second image with the model to obtain a second channel mapping indicative of a mapping between the plurality of model channels and the second feature set. The method can include generating an interpolation vector for a selected feature.

Abstract: A system for aggregating alarms for a network includes a non-transitory computer readable medium configured to store instructions thereon. The system further includes a processor connected to the non-transitory computer readable medium. The processor is configured to execute the instructions for receiving information for configuring alarm data. The processor is configured to execute the instructions for aggregating alarm data based on the information for configuring alarm data. The processor is configured to execute the instructions for generating a visual representation of the aggregated alarm data. The processor is configured to execute the instructions for instructing a display to display the visual representation on a graphical user interface (GUI). The processor is configured to execute the instructions for receiving filter criteria through the GUI. The processor is configured to execute the instructions for updating the display on the GUI based on the filter criteria.

Abstract: Techniques for auditioning audio content by a playback device involve (1) receiving, via at least one communication interface of the playback device, first audio content to be played back by the playback device, (2) playing back the first audio content, (3) while playing back the first audio content, receiving, via at least one microphone of the playback device, second audio content to be played back by the playback device (4) after receiving the second audio content: (i) suspending playback of the first audio content; and (ii) playing back the second audio content, and (5) after playing back the second audio content, resuming playing back the first audio content.

Abstract: Systems and methods of setting rules that automate the creation of a ticket related to incidents on a computer network. In some embodiments, incident management data structures are stored, each of the incident management data structures includes one or more defined incident identification characteristics and one or more automated ticket generation rules. A network incident data structure are received that describes a network incident on a network. A target incident management data structure are selected from the incident management data structures based on the defined automated incident identification characteristics of the target incident management data structure matching the network incident described by the network incident data structure. A ticket incident data structure is generated in accordance with the one or more automated ticket generation rules of the target incident management data structure.

Abstract: Accordingly, the embodiments herein disclose a method for selecting a MCS in a wireless communication system. The method includes receiving, by a UE, a list of default MCS from a base station. Further, the method includes measuring, by the UE, a CQI. Further, the method includes selecting, by the UE, at least one MCS from the list of default MCS based on the measured CQI.

Abstract: A method, a network device, and a non-transitory computer-readable storage medium are described in relation to a secure operations, administration, and management (OAM) for remote networks service. The service may categorize performance metric (PM), fault metric (FM) data, and other types of data associated with a virtualized network device of a private network and provide such data to an OAM system of an operator network via a blockchain network or not based on the categorization. The OAM system may also manage orchestration and maintenance of the private network including the virtualized network device based on configuration data transmitted via the blockchain network or not. The virtualized network device may be a radio access network device, a core network device, or an edge server device. The secure OAM for remote networks service may also store service assurance policies as a smart contract in the blockchain network.

Abstract: A data management system may deploy a virtual machine agent on a source data storage environment including a first set of computing resources managed by a user of a data management platform. In some examples, the virtual machine agent facilitates a connection between the source data storage environment and a target data storage environment including a second set of computing resources managed by the data management platform. The target data storage environment may be configured to automatically recover and restore data at the target data storage environment based on determining a failover event at the source data storage environment. The data management system may receive, from the user, a backup configuration configuring a schedule for backing up the data from the source data storage environment to the target data storage environment. The data management system may then perform a backup of the data in accordance with the backup configuration.

Abstract: Method of preparing a quantum rod nanocomposite, the method involving: combining a CdSe/CdS quantum rod, a metal ion catalyst, and a zinc precursor thereby forming a CdSe/CdxZn1-xS/ZnS quantum rod, wherein 0?X<1; optionally purifying the CdSe/CdxZn1-xS/ZnS quantum rod; combining the CdSe/CdxZn1-xS/ZnS quantum rod with an inorganic oxide precursor thereby forming an inorganic oxide encapsulated CdSe/CdxZn1-xS/ZnS quantum rod, wherein the CdSe/CdxZn1-xS/ZnS quantum rod is at least partially encapsulated by an inorganic oxide coating; and optionally combining the inorganic oxide encapsulated CdSe/CdxZn1-xS/ZnS quantum rod with a binder thereby forming a binder coated inorganic oxide encapsulated CdSe/CdxZn1-xS/ZnS quantum rod and curing the binder thereby forming the quantum rod nanocomposite.

Abstract: Systems and methods of setting rules that automate the creation of a ticket related to incidents on a computer network. In some embodiments, a graphical user interface (GUI) is presented, wherein the GUI includes one or more first graphical items for defining a network incident type on a network. One or more user selections of the one or more first graphical items are received. One or more automated incident identification characteristics of an incident management data structure are generated based on the user selections of the first graphical items. User input is received in the GUI that defines one or more automated ticket generation rules of the incident management data structure.

Abstract: Some embodiments provide a method for deploying network management services for a group of datacenters. From a tenant of a network management system deployed in a container cluster of the public cloud, the method receives (i) a definition of a group of datacenters for the network management system to manage and (ii) a selection of a set of network management services from a plurality of network management services offered by the network management service. For each respective selected network management service, the method defines a respective namespace of the container cluster. The method deploys each respective selected network management service as a plurality of microservices in the respective namespace.

Abstract: An application disposition definition agent (ADDA) system intercepts runtime data generated by resources of a first platform when an application is executing in the first platform. The ADDA system discovers components of the application based on the intercepted runtime data. The ADDA system generates an application architecture that includes the discovered components of the application. The ADDA system identifies transactional behaviors of the components based on the intercepted runtime data. The ADDA system determines scalability and performance parameters of each discovered component based on the intercepted runtime data. The ADDA system generates an application architecture that includes the discovered components of the application, the transactional behaviors of the components, and the scalability and performance parameters of the components. The generated application architecture can be used to deploy the application in a second platform.

Abstract: Some embodiments provide a method for a network management service operating in a first public cloud. The method receives a definition of a group of datacenters to manage. The group of datacenters includes (i) a virtual datacenter implemented in a second public cloud for an entity and (ii) a physical on-premises datacenter of the entity. The method receives a network policy configuration defining a logical network spanning the group of datacenters. The method provides logical network configuration data to local network managers at each of the datacenters at the group of datacenters.

Abstract: Embodiments are provided for querying a media server for media content based on user-selected metadata associated with first media while the first media is being experienced by a user. In one embodiment, at least one metadata associated with the first media may be displayed for the user to review while the first media is being experienced by the user. The user may then select a displayed metadata to initiate a search for media content based on the selected metadata. The search for media content may be performed by querying a media server associated with a selection of media content services. The user may then review the results of the media query, select media content from the results, and initiate further action, such as adding the media content to a digital repository, or purchasing the media content.

Abstract: A storage appliance may be configured to perform a method to evaluate a failover procedure. The method may include receiving a trigger indication to perform a test failover procedure for a plurality of virtual machines and identifying, based on receiving the trigger indication, a set of procedures for performing a full failover procedure on a target system based at least in part on a recovery configuration for the plurality of virtual machines. The method may include selecting a subset of test procedures of the set of procedures, causing execution on the target system of the subset of test procedures on a subset of virtual machines of the plurality of virtual machines, and calculating, based at least in part on the execution of the subset of test procedures on the subset of virtual machines, a success metric associated with the full failover procedure for the plurality of virtual machines.

Abstract: The present disclosure generally relates to systems, methods, and computer-readable media for managing the generation and processing of charging data records (CDRs) in a telecommunication environment (e.g., a fourth generation (4G) a fifth generation (5G), or future generation mobile network). The systems described herein involve predicting lengths of CDRs prior to encoding and providing the CDRs to a charging gateway function to ensure that the CDRs do not exceed a maximum allowable length that the charging gateway function is capable of processing while also reducing the total number of CDR packages that are encoded and transmitted. Indeed, the systems described herein can predict the length of the CDRs incrementally as charging containers are added, thus limiting the number of CDRs that are generated and processed.

Abstract: Embodiments described herein involve providing media item preferences according to a user account of a user providing the preference, rather than a user account providing the media item. When a user indicates a preference for a media item, the preference are associated with that particular user, rather than with another user whose account the media item may have been accessed and played through when the particular user indicated the preference. As a result, a media preference history associated with the account providing the media item will not be disrupted by other users indicating preferences for the media item. Further, users may build on their respective media preference histories even when listening to music provided by someone else.

Abstract: A data management system (DMS) may facilitate an investigation procedure for a set of one or more virtual machines (VMs) hosted in a first environment. The DMS may receive an indication of a selection of one or more sets of VMs and corresponding snapshots for the investigation procedure. The corresponding snapshots may be stored in a second environment, and each snapshot may be associated with a version of a respective set of VMs. The DMS may mount the one or more sets of VMs to one or more testing environments different than the first and second environments. The mounting may use the snapshots stored in the second environment to provide the testing environments with query access to respective versions of the sets of VMs hosted in the first environment. The DMS may perform query operations between the first environment and the testing environments as part of the investigation procedure.