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.