Abstract: A method and system for debugging and attending to a problem in a message queuing system in a computer network. Information from the message queuing system is periodically gathered. The information includes current message queuing configuration data, current message queuing usage values and current server usage values. A current message queuing system configuration is periodically analyzed by comparing the information with historical data. Suggestions of different configurations for the current message queuing system are prioritized based upon criticality levels of the suggested different configurations. The current message queuing system configuration is updated from a prioritized list of the suggested different configurations with a highest criticality level at a top of the list. The suggested configuration with the highest criticality level is applied.

Abstract: A method and system for debugging and attending to a problem in a message queuing system in a computer network. Information from the message queuing system is periodically gathered. The information includes current message queuing configuration data, current message queuing usage values and current server usage values. A current message queuing system configuration is periodically analyzed by comparing the information with historical data. Suggestions of different configurations for the current message queuing system are prioritized based upon criticality levels of the suggested different configurations. The current message queuing system configuration is updated from a prioritized list of the suggested different configurations with a highest criticality level at a top of the list. The suggested configuration with the highest criticality level is applied.

Abstract: The present invention provides a method and system for debugging and attending to a problem in a message queuing system in a computer network. A critical level of each connection in a matrix is determined. Criticality levels of different combinations of message queuing system configuration data based upon business criteria are determined. Information from the message queuing system is periodically gathered. The information includes current message queuing configuration data, current message queuing usage values, and current server usage values. Suggestions of different configurations for the current message queuing system are provided. The suggested different configurations are prioritized. The current message queuing system configuration are updated from a prioritized list of the suggested different configurations with a highest criticality level at a top of the list. The problem is debugged according to the prioritized list.

Abstract: A method, system and computer program product for predicting a range of questions that will come up in a panel discussion are disclosed. In an embodiment, the method comprises receiving, at one or more processor units of a computer system, input identifying a topic and panelists for the panel discussion; based on the identified topic and the panelists, predicting, by the one or more processor units, audience members for the panel discussion; and identifying, by the one or more processor units, a knowledge level of the audience members and an interaction between the panelists and the audience. Based on the identified topic and panelists, the predicted audience members, and the identified knowledge level of the audience and the interaction between the panelists and the audience, a range of questions are predicted, by the one or more processor units, from the audience during the panel discussion.

Abstract: The present invention provides a method and system for debugging and attending to a problem in a message queuing system in a computer network. A critical level of each connection in a matrix is determined. Criticality levels of different combinations of message queuing system configuration data based upon business criteria are determined. Information from the message queuing system is periodically gathered. The information includes current message queuing configuration data, current message queuing usage values, and current server usage values. Suggestions of different configurations for the current message queuing system are provided. The suggested different configurations are prioritized. The current message queuing system configuration are updated from a prioritized list of the suggested different configurations with a highest criticality level at a top of the list. The problem is debugged according to the prioritized list.

Abstract: The present invention provides a method, and associated computer system and computer program product, for optimizing and updating a message queuing system by comparing a current message queuing configuration with various message queuing configurations stored in a database, prioritizing the various configurations based upon a criticality level of components, objects and connections, and submitting a prioritized list of suggested configurations for consideration for implementation into the current message queuing system.

Abstract: The present invention provides a method, and associated computer system and computer program product, for optimizing and updating a message queuing system by comparing a current message queuing configuration with various message queuing configurations stored in a database, prioritizing the various configurations based upon a criticality level of components, objects and connections, and submitting a prioritized list of suggested configurations for consideration for implementation into the current message queuing system.

Abstract: The transaction timeout values for applications deployed in an enterprise application server are dynamically adjusted for each application request made by each of multiple applications. Transaction timeout values are dynamically determined based upon known load and status of database and enterprise network connection conditions and historical data related to the application database requests. Time increments are appended to timeout values as needed and when a transaction timeout event occurs.

Abstract: The transaction timeout values for applications deployed in an enterprise application server are dynamically adjusted for each application request made by each of multiple applications. Transaction timeout values are dynamically determined based upon known load and status of database and enterprise network connection conditions and historical data related to the application database requests. Time increments are appended to timeout values as needed and when a transaction timeout event occurs.