International Business Machines Corporation

Valeria Perticara′

Giuseppe Ciano

Gianluca Bernardini

Marco Martino

Roberto Piras

Roberto Giordani

Salvatore D'Angelo

Angelo Albanese

Giuseppe Longobardi

Scot MacLellan

Giovanni L Colaiacomo

Ilaria Rispoli

Embodiments of the invention provide for obtaining, by a computing device, query data from a query submitted by a user on a social network; determining, by the computing device, a topic of the query by extracting information from the query data; matching, by the computing device, the topic to content stored in a content database; determining, by the computing device, that the content can be shared with the user based on relationship data dynamically derived from user activity within the social network; and initiating, by the computing device, sharing of the content with the user based on the determining that the content can be shared, wherein the user is not statically connected to the content or the author of the content in the social network.

Managing content sharing in a social network

A method for cause analysis of a configuration exception occurred during the execution of a computer program on a programmable computer. The method includes executing the program on the computer. Exception information associated with the configuration exception may be extracted. The method may use context information and circumstances under which the configuration exception occurred. The method may also use data indicative of experiences of other developers that had a similar exception. A set of possible causes may be looked up from a knowledge base; wherein looking up the set of possible causes is based on context information related to the computer program.

Exception cause analysis during computer program execution

A scheduler detects a change in one of an electricity consumption pattern and appliance cycle scheduling that affects electricity consumption in a future time slot of an appliance cycle schedule for a plurality of appliances. The appliance cycle schedule comprises a plurality of future time slots. Appliances scheduled for use during the future time slot are determined. A total electricity consumption for the future time slot is then computed. The total electricity consumption comprises a sum of predicted background electricity consumption during the future time slot and predicted appliance cycle electricity consumption during the future time slot. It is determined that the total electricity consumption exceeds a threshold electricity consumption associated with an electric meter associated with the plurality of appliances. A new appliance cycle schedule with each of the plurality of future time slots having total electricity consumption below the threshold electricity consumption is generated.

Adaptive appliance scheduling for managing electricity consumption

Disaster recovery is performed based on journaling events prioritization in information in an information technology environment. One implementation involves prioritizing log file events for scheduling of jobs on a computing system, by logging events concerning each job execution plan, in a log file, and for disaster recovery, prioritizing logged events based on corresponding job urgency and relevance level and performing recovery by reapplying the events of log files in the priority order such that more urgent and relevant jobs are recovered first.

Disaster recovery based on journaling events prioritization in information technology environments

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Rome, Italy

Valeria Perticara′