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: 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 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 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.

Abstract: A method, system, and computer program product for monitoring a telecom network is provided. The method includes retrieving images associated with a transmission location of a telecom network. A communication channel is initialized for enabling transmission of a real time video stream comprising the images with respect to virtual network functions. The virtual network functions are enabled and a triggering signal of the virtual network functions is located. Image collector software and hardware components are activated for collecting the images for local cache storage and location and activation information is collected. Attributes of objects within the images are collected and detecting resulting obstruction characteristics associated with obstruction objects located within a coverage area of the telecom network are detected.

Abstract: In an approach for in-band selective data snapshot using fifth generation (5G) radio link control (RLC) channels for edged cloud application backups, a processor creates one or more RLC channels to transfer network data packets in a telecommunication network using a network slicing technology. A processor allocates the one or more RLC channels to one or more applications in a user device for dedicated packet routing requirements. A processor maps the corresponding RLC channels and applications with corresponding identifiers, respectively. A processor monitors the one or more applications for backups. A processor, in response to receiving an application's backup request, creates a copy of a datastore associated with the application based on changes monitored in the one or more applications.

Abstract: Imposing and/or readjusting the CPU clocks for services of containers from various cloud-based cognitive systems in a multi-cloud cognitive computing environment for performing a particular job. The particular job having an emergency performance requirement. During processing of the job, a need to tune the execution of instructions is identified through a pre-existing emergency identification process that includes collecting clock data for each container supporting the performance of the particular job.

Abstract: A computer-implemented method, system and computer program product for performing real-time monitoring of machine learning models. Real-time model state data and metadata (e.g., operating dataset) of the machine learning models located within an orchestration plane of a network are collected by agents located within the machine learning models. The portion of the collected real-time model state data and metadata that is to be provided to the user by the service orchestrator (configured to monitor the machine learning models in the service orchestration plane via the use of agents in the machine learning models) is selected and marked. The marked collected real-time model state data and metadata are then provided to the user by the service orchestrator. In this manner, real-time monitoring of the machine learning models in the orchestration plane, such as the service orchestration plane, of a broadband cellular network (e.g., fifth generation broadband cellular network) is achieved.

Abstract: A system, method, and computer program product for implementing dynamic telecom network agent filtering is provided. The method includes retrieving peripheral data associated with user equipment (UE) enabled with respect to a telecom network associated with a telecom network hardware device. The peripheral data is mapped with a pre-defined filter selection model and a filtering agent model is selected. Likewise, filtering agents associated with the UE are selected and environmental characteristics associated with the telecom network are retrieved. A location of the UE is tagged and the filtering agents are pushed to the UE. Network commands associated with execution of the filtering agents are generated and the filtering agents are executed with respect to the UE. In response, noise and distortion occurring during operation of the UE with respect to the telecom network is reduced.

Abstract: In an approach for in-band selective data snapshot using fifth generation (5G) radio link control (RLC) channels for edged cloud application backups, a processor creates one or more RLC channels to transfer network data packets in a telecommunication network using a network slicing technology. A processor allocates the one or more RLC channels to one or more applications in a user device for dedicated packet routing requirements. A processor maps the corresponding RLC channels and applications with corresponding identifiers, respectively. A processor monitors the one or more applications for backups. A processor, in response to receiving an application's backup request, creates a copy of a datastore associated with the application based on changes monitored in the one or more applications.

Abstract: A computer-implemented method includes: receiving, by a computing device, a query from a user device; generating, by the computing device and using a machine learning model, an answer to the query; determining, by the computing device, an urgency level of the query; generating, by the computing device, an explanation of the answer based on the determined urgency level; and presenting, by the computing device, the answer and the explanation to a user via the user device.

Abstract: An approach is provided in which the approach stores, in a cached recycle bin, a set of sensor data that is sent from a sensor at a transmit frequency. The approach samples at least a portion of the set of sensor data from the cached recycle bin based on a sampling frequency and training a machine learning model using the sampled data. In response to detecting that a performance of the machine learning model falls below a threshold during the training, the approach adjusts the sampling frequency and re-sampling at least a portion of the sensor data based on the adjusted sampling frequency. The approach instructs the sensor to adjust the transmit frequency in response to determining that the performance of the machine learning model reaches the threshold using the re-sampled data.

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 includes collecting, by one or more processors of a computer system, digestive capabilities for Input Output Queues (IOQs) of infrastructure components in a hybrid cloud infrastructure, and allocating, by the one or more processors of the computer system, nonvolatile memory express (NVMe) storage cloud resources for the hybrid cloud infrastructure based on the collected digestive capabilities for IOQs of the infrastructure components.

Abstract: A system, method, and computer program product for implementing dynamic telecom network agent filtering is provided. The method includes retrieving peripheral data associated with user equipment (UE) enabled with respect to a telecom network associated with a telecom network hardware device. The peripheral data is mapped with a pre-defined filter selection model and a filtering agent model is selected. Likewise, filtering agents associated with the UE are selected and environmental characteristics associated with the telecom network are retrieved. A location of the UE is tagged and the filtering agents are pushed to the UE. Network commands associated with execution of the filtering agents are generated and the filtering agents are executed with respect to the UE. In response, noise and distortion occurring during operation of the UE with respect to the telecom network is reduced.

Abstract: A system, method, and computer program product for implementing data replication generation is provided. The method includes utilizing hardware and software resources within a hybrid cloud environment. A non-volatile memory host system and an associated target system are enabled for operational functionality and the non-volatile memory host system is connected to an I/O queueing component. In response, a plurality of queue structures is generated with respect to a host driver component and a connection between the non-volatile memory host system and the associated target system is detected. In response, a special purpose cache structure is generated and the plurality of queue structures and the special purpose cache structure are enabled such that remote data mirroring functionality is enabled.

Abstract: A computer-implemented method, system and computer program product for managing queries to non-relational databases. A query to retrieve an object from a storage system of a non-relational database system is received from an application. A disk volume of the storage system is then identified from a record of the requested object. Upon identifying the disk volume, the logical and/or physical input/output connections to the identified disk volume that are tagged to dissimilar CPU cores of the storage system are identified. One of the identified logical and/or physical input/output connections is then selected based on the input/output access characteristics of the identified logical and/or physical input/output connections, the CPU core speeds for the CPU cores and a determined level of urgency for the retrieval of the object. The request is then sent to the storage system over the selected input/output connection.

Abstract: Imposing and/or readjusting the CPU clocks for services of containers from various cloud-based cognitive systems in a multi-cloud cognitive computing environment for performing a particular job. The particular job having an emergency performance requirement. During processing of the job, a need to tune the execution of instructions is identified through a pre-existing emergency identification process that includes collecting clock data for each container supporting the performance of the particular job.