Abstract: A computer-implemented method includes: receiving, by a computer device, and from a head position sensor, head position information that indicates a position of a user's head; receiving, by the computer device, and from an eye position sensor, eye position information that indicates a position of a sensed eye of the user; producing, by the computer device, eye image data that represents a desired eye image based on the head position information and the eye position information; and transmitting, by the computer device, the eye image data to a wearable device worn by the user.

Abstract: A container transport can receive and move a container between positions along a container passage defined by the container transport. The container transport can include a manipulation device for engaging with the container and moving the container onto a conveyance surface of the container transport. The conveyance surface can convey the container along the container passage, and the manipulation device can move the container off of the conveyance surface.

Abstract: Methods that can migrate storage data are provided. One method includes receiving, by a processor, an input/output (I/O) request and, in response to receiving the I/O request, simultaneously transmitting data associated with the I/O request to a first controller and a second controller as a portion of a data migration process. Systems and computer program products that can perform and/or implement the method are also provided.

Abstract: The present disclosure relates to a method for data communication between nodes and storage devices via a networking device of a network, wherein data access to a storage device of the network by a node is performed in accordance with a data access mode being a normal data access mode. The networking device is configured to share available resources of the networking device between the data links. The method comprises: determining that a network congestion may occur in the network. At least one data link defined by a node and a storage device may be identified. The data access mode may be switched for the identified data link from the normal data access mode to a compressed data access mode. The compressed data access mode enables exchange of compressed data via the identified data link, thereby increasing available resources of the networking device.

Abstract: A method, and associated computer system and computer program product, for cognition enabled driving pattern detection that includes receiving driving related data, storing the driving related data in one or more data repositories, receiving real-time driving data from at least one sensor related to an active driving situation, analyzing the driving related data and the real-time driving data, detecting a predictive driving outcome prior to the occurrence of the predictive driving outcome based on the analyzing, and notifying a driver based on the predictive driving outcome.

Abstract: The present disclosure relates to a method for data communication between nodes and storage devices via a networking device of a network, wherein data access to a storage device of the network by a node is performed in accordance with a data access mode being a normal data access mode. The networking device is configured to share available resources of the networking device between the data links. The method comprises: determining that a network congestion may occur in the network. At least one data link defined by a node and a storage device may be identified. The data access mode may be switched for the identified data link from the normal data access mode to a compressed data access mode. The compressed data access mode enables exchange of compressed data via the identified data link, thereby increasing available resources of the networking device.

Abstract: A computer-implemented method manages I/O queues in a host clustered system. The method includes, receiving, from a first virtual machine (VM), a request to establish a set of I/O queues in a storage system, and the first VM is supported by a first host. The method further includes, mapping a data volume to a target storage system, wherein the data volume is related to the request. The method includes, sending a first connection request from the first host to the target storage system. The method further includes, establishing, in response to the first connection request, a connection between the first host and the target storage system. The method incudes, blocking a second connection request, wherein the second connection request is directed to a second storage system, the second storage system being included in the storage system.

Abstract: A computer-implemented method manages I/O queues in a multi-tier storage system. The method includes identifying a set of subsystems in a multi-tier storage system, and each subsystem in the set of subsystems are communicatively connected to the storage system via a non-volatile memory express (NVMe) protocol and correlated to a tier of the multi-tier storage system. The method includes, determining a workload of each extent, wherein each extent of the set of extents are stored on one subsystem and the extents are accessed by an application. The method further includes, mapping, based on the workload of each extent, each extent to a core of the plurality of cores, wherein the mapping is configured to such that each core is balanced. The method includes, establishing, based on the mapping, an IOQ for each extent, wherein the IOQ is processed by the core to which it is mapped.

Abstract: A computer-implemented method to identify redundant Input/Output (I/O) queues in a multi-site storage system. The method includes receiving, from a host, by a backup storage system, a request to process a first set of Input/Output (I/O) queues, wherein the backup storage system is a second subsystem in a multi-site storage system. The method includes, allocating memory on the backup storage system. The method includes, identifying a second set of I/O queues established at a primary storage system, a first subsystem in the multi-site storage system. The method includes, determining the first set of I/O queues and the second set of I/O queues are redundant. The method includes, responsive to determining queues are redundant: notifying via the host, that the first set of the redundancy, terminating a connection between the host and the backup storage system, and de-allocating the memory to process the first set of I/O queues.

Abstract: For linguistic alignment in specific user targeted messaging, a linguistics preference set is calculated for a specific user using cognitive models with specific user data as input. A messaging channel is selected according to the linguistics preference set, where the linguistics preference set includes one or more sets of linguistic traits preferred by the specific user. A location of the specific user is determined. A set of linguistic traits applicable to a customized message is determined based on the linguistics preference set for the specific user and the location of the specific user. The customized message is generated to incorporate the set of linguistic traits and sent only to the specific user over the selected messaging channel, providing a multi-level linguistic alignment between the specific user and the linguistics used in the message.

Abstract: Embodiments are disclosed for a multi-tier storage system (MTSS). The techniques include identifying a first data extent stored in a first storage pool of MTSS based on a read-write heat mapping by the MTSS. The first data extent is associated with a mirrored volume. The first data extent is a mirrored copy of a second data extent stored in a second storage pool of the MTSS. The first storage pool is asymmetric to the second storage pool. The techniques also include determining that a second top promotion tier of the second storage pool is faster than a first top promotion tier of the first storage pool. The techniques further include promoting the second data extent to the second top promotion tier based on the determination. Additionally, the techniques include updating an I/O access policy to direct future I/O operations for the mirrored volume to the second data extent.

Abstract: An approach is provided in which a lens system captures a set of sensory data corresponding to an area proximate to a user wearing glasses. Next, the lens system matches the set of sensory data to a situational context entry stored in a storage area and, in turn, adjusts an appearance of the lens system based on a set of lens configuration attributes corresponding to the matched situational context entry.

Abstract: A computer-implemented method to identify redundant Input/Output (I/O) queues in a multi-site storage system. The method includes receiving, from a host, by a backup storage system, a request to process a first set of Input/Output (I/O) queues, wherein the backup storage system is a second subsystem in a multi-site storage system. The method includes, allocating memory on the backup storage system. The method includes, identifying a second set of I/O queues established at a primary storage system, a first subsystem in the multi-site storage system. The method includes, determining the first set of I/O queues and the second set of I/O queues are redundant. The method includes, responsive to determining queues are redundant: notifying via the host, that the first set of the redundancy, terminating a connection between the host and the backup storage system, and de-allocating the memory to process the first set of I/O queues.

Abstract: A computer-implemented method according to one embodiment includes managing a cache in a tiered data storage system. The cache is configured to be powered by a temporary power source during a power loss event. The managing includes determining an amount of time that the temporary power source is capable of powering the cache before the temporary power source is depleted, and maintaining a dynamic cache size. The maintaining includes dynamically selecting the cache size based on the amount of time that the temporary power source is capable of powering the cache before the temporary power source is depleted, and based on a latency of destaging extents of data in the cache.

Abstract: A computer-implemented method according to one embodiment includes managing a cache in a tiered data storage system. The cache is configured to be powered by a temporary power source during a power loss event. The managing includes determining an amount of time that the temporary power source is capable of powering the cache before the temporary power source is depleted, and maintaining a dynamic cache size. The maintaining includes dynamically selecting the cache size based on the amount of time that the temporary power source is capable of powering the cache before the temporary power source is depleted, and based on a latency of destaging extents of data in the cache.

Abstract: The present disclosure includes using cognitive data analytics for communication between vehicular devices using a 5G (fifth generation cellular network technology) telecommunications network. In a defined area, using an Internet of Things (IoT) enabled device in a first vehicle traveling in a direction, the present disclosure detects a second vehicle traveling in another direction in the defined area. Data is collected in the defined area using the detected IoT devices in the first and second vehicles. The collected data is analyzed to provide content data related to driving conditions for the first and second vehicles. The content data is exchanged between the IoT devices of the first vehicle and the second vehicle in the defined area, thereby providing real-time information related to the driving conditions to a vehicle traveling in another direction, and the exchanging of the content data, using the service orchestration layer of the 5G telecommunications network.

Abstract: A computer-implemented method, according to one embodiment, includes initiating, by a computer, a connection with a storage controller. A determination is made, by the computer, if a number of compressed volumes on a target side present in a storage system comprising the storage controller. In response to determining at least one compressed volume, a number of queues are dedicated based on the number of compressed volumes. The number of dedicated queues are sent to the storage controller. Moreover, the number of dedicated queues are created. Compressed input/outputs (I/Os) are sent through at least one of the dedicated queues to at least one of the at least one compressed volume via the storage controller.

Abstract: A method and system for virtually detecting and modifying technical issues is provided. The method includes enabling virtual software of a hardware controller with respect to a software layer of a fifth generation (5G) telecom communication network. A signal is enabled by a 5G apparatus and a handshaking processes between the hardware controller and the 5G apparatus is executed. In response, metadata structures are parsed and classified. Technical issues associated with hardware and software of devices connected to the 5G telecom communication network are identified and the virtual software is modified for managing and repairing the technical issues. Self-learning software code for executing future processes associated with executing virtual detection and issue modification is generated.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: transmitting, during a media streaming session, streaming media to a user equipment (UE) device of a user, the transmitting streaming media including simultaneously transmitting a first media stream and a second media stream to the UE device; subjecting the first media stream to processing by natural language processing to provide a topic extracted from the first media stream; subjecting the second media stream to processing by natural language processing to provide an extracted topic extracted from the second media stream; identifying a match between the topic and the extracted topic; and providing one or more output in response to the identifying the match between the topic and the extracted topic.

Abstract: An approach is provided for controlling content delivery. Stream data and associated metadata are received from one or more sources. The stream data is converted into a text format. The converted stream data is processed in an artificial intelligence system to detect emotions of the stream data. The emotions of the stream data are mapped to a set of rules for a geographic area. Unacceptable content in the stream data is identified based on the emotions and the set of rules for the geographic area. Content delivery servers are notified to discard the unacceptable content so that the unacceptable content is not delivered through content distribution channels and is not viewed by an end user.