Abstract: 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.

Abstract: 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.

Abstract: A computing system comprises a plurality of computing machines, each computing machine storing security information corresponding with the respective computing machine. Embodiments are directed to receiving an update request by a current computing machine for updating corresponding security information, updating the corresponding security information, determining other computing machines coupled with the current computing machine, and submitting, by the current computing machine, a further update request to each other computing machine that is coupled with the current computing machine.

Abstract: 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.

Abstract: 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.

Abstract: A computing system comprises a plurality of computing machines, each computing machine storing security information corresponding with the respective computing machine. Embodiments are directed to receiving an update request by a current computing machine for updating corresponding security information, updating the corresponding security information, determining other computing machines coupled with the current computing machine, and submitting, by the current computing machine, a further update request to each other computing machine that is coupled with the current computing machine.

Abstract: Method, system, and computer program product for providing turn-by-turn directions to mobility impaired individuals. Movement of users associated with certain mobility classes are tracked to determine when the users deviate from certain geographical features, such as sections of sidewalk. In the event of a deviation, a reliability score for that geographical feature is decreased. When another user of the same mobility class requests directions and a candidate path uses the same geographical feature, the decreased reliability score is applied to that candidate path to provide the other user with an indication that the path may be difficult to traverse. The user may select a different candidate path with a higher reliability score.

Abstract: Method, system, and computer program product for providing turn-by-turn directions to mobility impaired individuals. Movement of users associated with certain mobility classes are tracked to determine when the users deviate from certain geographical features, such as sections of sidewalk. In the event of a deviation, a reliability score for that geographical feature is decreased. When another user of the same mobility class requests directions and a candidate path uses the same geographical feature, the decreased reliability score is applied to that candidate path to provide the other user with an indication that the path may be difficult to traverse. The user may select a different candidate path with a higher reliability score.

Abstract: This disclosure describes monitoring the execution of jobs in a work plan. In an embodiment, a system maintains a risk level associated with the critical job to represent whether the execution of a job preceding the critical job has a problem, and it maintains the list associated with the critical job so as to quickly identify the preceding job which may cause a delay to the critical job execution.

Abstract: 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.

Abstract: This disclosure describes monitoring the execution of jobs in a work plan. In an embodiment, a system maintains a risk level associated with the critical job to represent whether the execution of a job preceding the critical job has a problem, and it maintains the list associated with the critical job so as to quickly identify the preceding job which may cause a delay to the critical job execution.

Abstract: Various embodiments involve monitoring the execution of jobs in a work plan. For example, a system maintains a risk level associated with the critical job may be maintained to represent whether the execution of a job preceding the critical job has a problem, and a list associated with the critical job may be maintained so as to quickly identify the preceding job which may cause a delay to the critical job execution.

Abstract: This disclosure describes monitoring the execution of jobs in a work plan. In an embodiment, a system maintains a risk level associated with the critical job to represent whether the execution of a job preceding the critical job has a problem, and it maintains the list associated with the critical job so as to quickly identify the preceding job which may cause a delay to the critical job execution.

Abstract: A method for dynamically recalculating a critical path in a job scheduling system is disclosed. In selected embodiments, the method may include determining when a first job associated with a critical path is substantially complete. The method may further include identifying a successor job of the first job and identifying multiple predecessor jobs of the successor job. The method may then determine whether there is at least one predecessor job that has not completed. In the event there is at least one predecessor job that has not completed, the method may recalculate the critical path. A corresponding apparatus and computer program product for implementing the above-stated method are also disclosed.

Abstract: Various embodiments involve monitoring the execution of jobs in a work plan. For example, a system maintains a risk level associated with the critical job may be maintained to represent whether the execution of a job preceding the critical job has a problem, and a list associated with the critical job may be maintained so as to quickly identify the preceding job which may cause a delay to the critical job execution.

Abstract: 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.

Abstract: 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.

Abstract: A method and system for managing power consumption by electrical appliances, is provided. One implementation involves obtaining power consumption information for a use cycle of a each of multiple appliances; and automatically scheduling a time slot for an operation cycle of a selected appliance as a function of power consumption by appliance cycles scheduled in that time slot, such that an upper limit of power consumption is not exceeded by the collective power consumption for scheduled appliance cycles in the time slot.

Abstract: A method and system for automated disaster recovery in an information technology computing system including computing resources, is provided. One implementation involves logging system events in a journaling log file, filtering the events of the log file for each resource and storing the filtered log file, reading the filtered log file, and restarting from a backup file by applying the filtered events to a backup file for recovery.

Abstract: This disclosure describes monitoring the execution of jobs in a work plan. In an embodiment, a system maintains a risk level associated with the critical job to represent whether the execution of a job preceding the critical job has a problem, and it maintains the list associated with the critical job so as to quickly identify the preceding job which may cause a delay to the critical job execution.