Abstract: A method includes: creating, by a computing device, a virtual consolidation layer; replicating, by the computing device, snippets that are results of a query; copying, by the computing device, the replicated snippets to the virtual consolidation layer; performing, by the computing device and by a machine learning model, matching of particular ones of the snippets in the virtual consolidation layer; and producing, by the computing device, a search result comprising the matched snippets.

Abstract: One or more systems, devices, computer program products and/or computer implemented methods of use provided herein relate to a process of monitoring the effect of forcible actions over a normalized feature set. A system can comprise a memory that stores computer executable components, and a processor that executed the computer executable components stored in the memory, wherein the computer executable components can comprise an input component that can receive one or more forcible actions as input from a user that correspond to an identified anomaly instance of a cluster, an evaluation component that can evaluate an effect of the one or more forcible actions executed over time on the system, and a notification component that can notify the user that a true-positive detection threshold has been reached for a cluster such that true-positives are not detected in the cluster.

Abstract: In one general embodiment, a computer-implemented method includes determining when two satellites in low Earth orbit (LEO) and having duplicate instances of data stored thereon will be within a predefined distance of one another. A third satellite is identified to store a replication copy of the instance of data for at least a duration that the two satellites will be within the predefined distance of one another. A copy of the instance of data is caused to be transmitted to the third satellite for storage thereon.

Abstract: A computer-implemented method for processing data connection requests is provided. The computer-implemented method includes receiving a connection request from an edge device and responding to the edge device such that the edge device recognizes that a connection is established and that data cannot be sent. The method further includes receiving a response from the edge device indicative of a connection parameter, determining that the connection is fiber-allocatable in accordance with the connection parameter being of a first connection parameter type, selecting one fiber from a plurality of fibers to have the connection allocated thereto based on one or more rules of fiber selection responsive to the determining that the connection is fiber-allocatable and allocating the connection to the one fiber.

Abstract: In an approach to RLC channel management for low memory 5G devices, responsive to detecting a memory overload in an RLC layer of a 5G user equipment, whether slices of a plurality of slices are merger candidates is determined. Responsive to determining that the slices are merger candidates, whether any merger candidates can share a transportation logical entity is determined, where merger candidates can share the transportation logical entity if performance and quality parameters are within predetermined limits. The merger candidates that can share the transportation logical entity are marked as allowed candidates. Responsive to determining that at least one allowed candidate has a workload that is below a predetermined threshold, the allowed candidates are merged into merged flows.

Abstract: An embodiment includes analyzing text content of a user query to identify via natural language processing (NLP) a query topic. The embodiment maps the query topic to a topic cluster at a node of a hierarchical model of a text database. The embodiment generates query demand data indicative of demand for the topic cluster based on user queries. The embodiment identifies the topic cluster as a topic-cache candidate based on the query demand data. The embodiment compares an amount of memory required for storing text associated with the first topic cluster to available cache memory. The embodiment caches the text of the topic cluster candidate upon determining that there is sufficient available cache memory space.

Abstract: Deployment updates in multivendor cloud environments are provided by obtaining, from an administrative user, deployment objectives for a network deployment; identifying currently deployed infrastructure in the network deployment; identifying information sources to provide information for evaluating candidates for additional infrastructure to include in the network deployment to meet the deployment objectives; performing a cognitive computing analysis based on the deployment objectives to identify a configuration of the network deployment that includes the additional infrastructure selected from the candidates provided by the information sources; and providing the administrative user with the configuration.

Abstract: Provided are a computer program product, system, and method for training and using a sentiment machine learning module to determine a sentiment score. Haptic metric values are collected from haptic interfaces embedded in input devices users control to generate content. A training set associates a haptic metric value resulting from a user interacting with an input device to generate content and a sentiment score for the content. A sentiment machine learning module is trained to output the sentiment score in a training set from input comprising the haptic metric value. A haptic metric value received from an input device, used by an active user interacting with the interactive program, is inputted to the sentiment machine learning module to output a haptic sentiment score for the haptic metric value. The haptic sentiment score is provided to an interactive program to control the interactive program communications with the active user.

Abstract: Provided is a system and method which prioritizes data replication packets between a private cloud and a public cloud which provides a backup for the private cloud. In one example, the method may include receiving a request from a software application to write data to a storage location of a private cloud that hosts the software application, identifying storage attributes of the storage location of the private cloud, generating a replication request for replicating the data over a network to a public cloud, embedding a priority tag into the replication request based on the identified storage attributes of the storage location of the private cloud, and transmitting the tagged replication request over the network from the private cloud to the public cloud based on a bandwidth assigned to the embedded priority tag.

Abstract: A method, computer program product, and computer system for transmitting an ACK in response to receipt of a data packet in RLC AM mode operation in a 5G communication protocol stack. A first RLC entity receives from a receiving UE corresponding to the first RLC entity: (i) an ACK to be sent to a transmitting UE in response to the receiving UE having received a data packet from the transmitting UE and (ii) a first RLC channel extracted by the receiving UE from a header of the data packet. In response to a first communication having specified that the first RLC channel is congested, the first RLC entity selects a second, different RLC channel operating in the RLC AM mode and not being congested. The first RLC entity sends the ACK to the transmitting UE via the second RLC channel instead of via the first RLC channel.

Abstract: A method includes: determining, by a videoconference server, a level of tolerated risk for a videoconference between a presenter and an attendee; obtaining, by the videoconference server, sensor data from at least one sensor at a location where a user device of the attendee displays the videoconference; generating, by the videoconference server, a current risk score based on the sensor data; determining, by the videoconference server, the current risk score exceeds the level of tolerated risk; and presenting, by the videoconference server and in response to the determining the current risk score exceeds the level of tolerated risk, an alert to the presenter of the videoconference.

Abstract: A method includes: determining, by a videoconference server, a level of tolerated risk for a videoconference between a presenter and an attendee; obtaining, by the videoconference server, sensor data from at least one sensor at a location where a user device of the attendee displays the videoconference; generating, by the videoconference server, a current risk score based on the sensor data; determining, by the videoconference server, the current risk score exceeds the level of tolerated risk; and presenting, by the videoconference server and in response to the determining the current risk score exceeds the level of tolerated risk, an alert to the presenter of the videoconference.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: obtaining prediction data that are indicative of media use behaviors of a user; and predicting, in dependence on the prediction data, a pattern of the media use behaviors of the user.

Abstract: A computer implemented method, system and program product is provided for linguistic alignment in specific user targeted messaging. In one embodiment, new and previously existing data about a specific user is analyzed and personality insights are determined. Location of the user is also determined. Using this location and collected data and personality insights, a multilayered set of linguistic preferences is determined for the specific user. This set is used to customize a message for the specific user based on the linguistic set and ultimately a message is sent to the specific user using a selected messaging channel.

Abstract: Generating a personalized automated voice response in a telecommunications network is provided. An incoming call from a caller for user equipment of an operator in the telecommunications network is identified. In response to identifying the incoming call, it is determined whether to provide an automated response to the incoming call. In response to determining to provide the automated response to the incoming call, a personalized response message from the operator of the user equipment to the caller is generated based on characteristics of communications between the caller and the operator of the user equipment. The personalized automated voice response comprising the personalized response message in a synthesized voice of the operator of the user equipment is generated. The personalized automated voice response is sent to the caller.

Abstract: A telecom network monitoring method and associated computer program product and hardware device. Location and activation sight information is collected via a plurality of image retrieval devices associated with a plurality of hardware devices connected to a telecom network. Object elevation, movement, and abstraction attributes of objects within images retrieved from the plurality of image retrieval devices are collected from a metadata database. Based on the object elevation, movement, and abstraction attributes of objects within the images, obstruction characteristics associated with obstruction objects of the objects located within a coverage area of the telecom network are detected. The obstruction characteristics are mapped with login and disturbance patterns of the telecom network. Based on results of the mapping, an alternative transmission location within the telecom network is determined.

Abstract: A method for power-savings of UE operating within a 5G network. Transmission requirement data of logical channels for application-level data are collected from SDAP, including logical channel ID, application ID, and QCI indexing information. A list of logical channels with QCI indexing for permissible delay of packets is created. The logical channels of the list are mapped to related RLC channels. Responsive to receipt of a packet by a RLC multiplexing layer, the RLC channel ID from a SARQ packet is mapped to the list of permissible transmission delay logical channels of packets. responsive to a match between the RLC channel ID and the logical channels of the list, the packet is saved to an RLC data structure in allocated memory, and responsive to receipt of a time-critical packet, the time-critical packet, and the saved packet are submitted to a MAC carrier controller for transmission processing.

Abstract: One or more communication capabilities and a plurality of versions of communication terms of a cognitive interface are identified. A probability of a particular user reaction for each communication term version is determined. A desired outcome of an interaction between a user and the cognitive interface is determined. A first communication term version is selected from the plurality of communication term versions based on the determined probabilities of the communication term versions and the desired outcome. An interaction between the user and the cognitive interface is created using the selected first communication term version. The interaction is sent to a communication device associated with the user.

Abstract: A cognitive proximate recommendation method, system, and non-transitory computer readable medium, include first extracting a requested feature and a requested value of the requested feature for a requested item and returning a return item from a plurality of return items stored in the database and returning a ranked list of the plurality of return items, where the ranked list further includes inter-relationships that are defined by defining a primary value of each of the requested items and the return feature corresponding to the requested feature or anchor value for each of the requested items and the return feature corresponding to the requested feature.

Abstract: A method includes: receiving, by a computing device, a digital voice stream; receiving, by the computing device, converted text that represents the digital voice stream; identifying, by the computing device, an erroneously converted portion of the converted text; selecting, by the computing device, the erroneously converted portion for explainability processing; parsing, by the computing device, the erroneously converted portion into parts based on a predetermined parsing level; collecting, by the computing device, supplementary input data related to the erroneously converted portion; and determining, by the computing device and based on the supplemental input data, a reason why the erroneously converted portion was erroneously converted.