International Business Machines Corporation

Luke Peter Macura

Gandhi Sivakumar

Sarvesh S Patel

Kushal S Patel

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. The alternative transmission location includes improved transmissions characteristics with respect to the transmission location.

Telecommunication network monitoring

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.

Adaptive hybrid cloud resource management

Provided are a method, system, and computer program product in which a service orchestration layer is configured in a telecommunications network. Personalized pending user actions are transmitted to a user equipment, in response to a hold being performed over a first communications channel to the user equipment.

Personalized action reminders and dynamic injection of information in a cellular network

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.

RLC channel management for low memory 5G devices

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.

Prioritizing data replication packets in cloud environment

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.

Acknowledgement of data packet transmission using RLC in am mode operating in 5G protocol stack with mitigation of RLC channel congestion

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.

Explaining anomalous phonetic translations

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. The obstruction characteristics are mapped with login and disturbance patterns of the telecom network and an alternative transmission location within the telecom network is determined for providing improved transmission characteristics.

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.

Edged cloud application backup

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.

Centralized imposing of multi-cloud clock speeds

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.

Real-time monitoring of machine learning models in service orchestration plane

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.

Dynamic telecom network agent filtering

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.

Data migration and replication

A method, system, and computer program product for generating and presenting an offline video presentation is provided. The method includes executing service software code within a service orchestration and programmability framework layer of a telecom network. Communications with static and dynamic hardware and software resources are established and dynamic video presentations with respect to channels generated with respect to selective broadcast control channels of the telecom network are generated. Video contents of the dynamic video presentations are retrieved logical channels associated with virtual network functions are generated. Information associated with the video contents fare transferred from a channel to physical network functions of the telecom network. Connections associated with detecting offline video streams are allocated and a connection to a logical network is established. The video contents are associated with an offline video stream in response to the connection. The video contents are presented with the offline video stream.

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Lucas, Australia

Luke Peter Macura