Abstract: A computer-implemented method includes: receiving, by a computing device, a database-level auto_purge value for a database having a plurality of tables, wherein the database-level auto_purge value represents a value associated with the entire database for when data is set to be purged or deleted from the plurality of tables in the database; setting, by the computing device, the database-level auto_purge value for the database; setting, by the computing device, table-level auto_purge values for the plurality of tables included in the database based on the database-level auto_purge value; and automatically purging data in the plurality of tables based on the table-level auto_purge values.

Abstract: Embodiments for managing text in rendered images by one or more processors are described. An image rendered by a display device is detected. The rendered image includes an object component and a text component at least partially overlapping the object component. A size of the object component of the image is caused to change. Based on a comparison of the changed size of the object component of the image to a size of the text component of the image, one or more text modification option is caused to be rendered by the display device. An indication of a selection of at least one of the one or more text modification option is received. The text component of the image is caused to change based on the selected one or more text modification option.

Abstract: Embodiments provide an automated participation evaluator, wherein processors are configured to evaluate participation of meeting attendees with respect to performance criteria including participation criteria and deliverable contribution criteria; populate object fields associated to ones of the performance criteria and attendees with values representing a quality of performance of the associated attendees relative to the associated performance criteria; notify the attendees of the populated object field values in response to determining that time for evaluating participation of the attendees with respect to performance criteria has not elapsed; update the populated object field values via reevaluating participation of the attendees in response to the notifying of the attendees of the populated values; and reward the attendees with reward values selected as a function of the updated, populated values, in response to determining time for evaluating the participation of the attendees with respect to each of the

Abstract: Embodiments for intelligent design structure selection in an Internet of Things (IoT) computing environment by a processor. Levels of satisfaction and behavior patterns of one or more users having similar user profiles influencing the behavior patterns may be learned and evaluated. One or more design structure solutions may be cognitively suggested according to the levels of satisfaction and the behavior patterns.

Abstract: A method, computer system, and a computer program product for managing and optimizing connectivity of a plurality of IoT devices based on cognitive learning is provided. The present invention may include identifying a user, wherein a plurality of user context data is stored in a user profile. The present invention may then include detecting a change in at least one current user context associated with the identified user. The present invention may also include performing a connectivity and management analysis on the detected change in the at least one current user context. The present invention may then include generating at least one optimal plan for the plurality of IoT devices associated with the identified user based on the performed connectivity and management analysis. The preset invention may further include performing at least one action based on the generated at least one optimal plan.

Abstract: Embodiments for intelligent notification during an event in an Internet of Things (IoT) computing environment by a processor. During a scheduled event, user activity for one or more users and geolocation of the one or more active UEs linked to the event may be monitored using a machine learning operation. A notification may be provided to one or more UEs associated with the user to alert the user to respond to the query upon determining the user failed to respond to the query during the event. The notification may be terminated or disabled upon learning the user or an alternative user responded to the query.

Abstract: Workload processing is facilitated in a data processing environment including a sender system, a load balancer and a plurality of target resources. The sender system sends workloads to the load balancer, and the load balancer distributes the workloads to the plurality of target resources for processing. Facilitating workload processing includes receiving, by the load balancer, sender status-related information which is indicative of a workload capacity issue from the sender system's view related, at least in part, to the sending of the workloads to the load balancer. The load balancer distributes one or more workloads of the sender system to one or more target resources of the plurality of target resources in a manner based, at least in part, upon the received sender status-related information.

Abstract: Embodiments describe an approach to monitoring user health data. Determining if the user is having an emergency based on the user health data. Responsive to determining the user is having an emergency the user's location. Identifying one or more available parking spaces based on the user's location, and outputting locations of one or more available parking spaces to the user.

Abstract: Workload processing is facilitated in a data processing environment including a sender system, a load balancer and a plurality of target resources. The sender system sends workloads to the load balancer, and the load balancer distributes the workloads to the plurality of target resources for processing. Facilitating workload processing includes receiving, by the load balancer, sender status-related information which is indicative of a workload capacity issue from the sender system's view related, at least in part, to the sending of the workloads to the load balancer. The load balancer distributes one or more workloads of the sender system to one or more target resources of the plurality of target resources in a manner based, at least in part, upon the received sender status-related information.

Abstract: Workload processing is facilitated in a data processing environment including a sender system, a load balancer and a plurality of target resources. The sender system sends workloads to the load balancer, and the load balancer distributes the workloads to the plurality of target resources for processing. Facilitating workload processing includes receiving, by the load balancer, sender status-related information which is indicative of a workload capacity issue from the sender system's view related, at least in part, to the sending of the workloads to the load balancer. The load balancer distributes one or more workloads of the sender system to one or more target resources of the plurality of target resources in a manner based, at least in part, upon the received sender status-related information.

Abstract: Embodiments for intelligent scheduling management by a processor. One or more time slots are cognitively identified for scheduling a meeting according to a plurality of identified contextual factors, scheduling availability, an attendance confidence level assigned to each of the one or more users, and meeting topic and objective such that a user aggregation contribution score is provided for the one or more time slots. A meeting is scheduled during the one or more time slots for one or more users according to the user aggregation contribution score.

Abstract: A method for modifying an application behavior based on a plurality of user specific data is provided. The method may include receiving a plurality of user specific data. The method may also include storing the received plurality of user specific data in a database. The method may further include determining a user mood based on the stored plurality of user specific data. The method may also include transmitting an action to an application corresponding to the determined user mood.

Abstract: A method for modifying an application behavior based on a plurality of user specific data is provided. The method may include receiving a plurality of user specific data. The method may also include storing the received plurality of user specific data in a database. The method may further include determining a user mood based on the stored plurality of user specific data. The method may also include transmitting an action to an application corresponding to the determined user mood.

Abstract: A computer-implemented method includes: receiving, by a computing device, a database-level auto_purge value for a database having a plurality of tables, wherein the database-level auto_purge value represents a value associated with the entire database for when data is set to be purged or deleted from the plurality of tables in the database; setting, by the computing device, the database-level auto_purge value for the database; setting, by the computing device, table-level auto_purge values for the plurality of tables included in the database based on the database-level auto_purge value; and automatically purging data in the plurality of tables based on the table-level auto_purge values.

Abstract: A method for voice pattern coding and catalog matching. The method includes identifying a set of vocal variables for a user, by a voice recognition system, based, at least in part, on a user interaction with the voice recognition system. The method further includes generating a voice model of speech patterns that represent the speaking of a particular language using the identified set of vocal variables, wherein the voice model is adapted to improve recognition of the user's voice by the voice recognition system. The method further includes matching the generated voice model to a catalog of speech patterns, and identifying a voice model code that represents speech patterns in the catalog that match the generated voice model. The method further includes providing the identified voice model code to the user.