Abstract: A method of identifying and suggesting objects for a user within a user's field of vision of a personal imaging system. A user's field of vision within the system is monitored. The personal imaging system requests feedback regarding objects that are focused on within the user's field of vision. The feedback from the user is associated with the user's profile which includes at least demographics. A real-time correlation of the user's profile and demographics with other users is performed to provide a correlation interest score. The interest score may be used to recommend and direct the user's attention to other objects within the user's field of vision that the user may be interested in.

Abstract: A method and system for optimizing a configuration of a set of LPARs and a set of servers that host the LPARs. Configuration data and optimization characteristics are received. By applying the configuration data and optimization characteristics, a best fit of the LPARs into the servers is determined, thereby determining an optimized configuration. The best fit is based on a variant of bin packing or multidimensional bin packing methodology. The optimized configuration is stored. In one embodiment, comparisons of shadow costs are utilized to determine an optimal placement of the LPARs in the servers. LPAR(s) in the set of LPARs are migrated to other server(s) in the set of servers, which results in the LPARs and servers being configured in the optimized configuration.

Abstract: A scheduling method and system. The method includes receiving by a computing system first data and second data associated with a user. The first data comprises user identification associated, an activity selection for an activity, and first scheduling information. The second data comprises geographical preference data. The computing system determines facilities associated with the activity. The facilities are located within boundaries specified by the geographical preference data. The computing system generates tentative reservations for the user at each facility. The computing system presents the tentative reservations data to the user. The computing system receives verification data from the user. The computing system posts the tentative reservations data in a social networking environment. The computing system stores the tentative reservations data.

Abstract: A method and system for optimizing a configuration of a set of LPARs and a set of servers that host the LPARs. Configuration data and optimization characteristics are received. By applying the configuration data and optimization characteristics, a best fit of the LPARs into the servers is determined, thereby determining an optimized configuration. The best fit is based on a variant of bin packing or multidimensional bin packing methodology. The optimized configuration is stored. In one embodiment, comparisons of shadow costs are utilized to determine an optimal placement of the LPARs in the servers. LPAR(s) in the set of LPARs are migrated to other server(s) in the set of servers, which results in the LPARs and servers being configured in the optimized configuration.

Abstract: A scheduling method and system. The method includes receiving by a computing system first data and second data associated with a user. The first data comprises user identification associated, an activity selection for an activity, and first scheduling information. The second data comprises geographical preference data. The computing system determines facilities associated with the activity. The facilities are located within boundaries specified by the geographical preference data. The computing system generates tentative reservations for the user at each facility. The computing system presents the tentative reservations data to the user. The computing system receives verification data from the user. The computing system posts the tentative reservations data in a social networking environment. The computing system stores the tentative reservations data.

Abstract: An embodiment of the invention provides a method for dispatching emergency responders. The method identifies emergency responders proximate an emergency incident site. Of these emergency responders, qualified emergency responders are identified, wherein qualified emergency responders have sufficient resources to service an emergency incident at the emergency incident site. The method identifies travel obstructions between the qualified emergency responders and the emergency incident site. Travel times between each of the qualified emergency responders and the emergency incident site are determined based on the travel obstructions. A first emergency responder is selected from the qualified emergency responders, wherein the first emergency responder has a first travel time that is the shortest travel time of the determined travel times.

Abstract: A method is disclosed for managing the performance of shared computing resources in furtherance of delivering on-demand IT services to multiple customers. The inventive method comprises predicting the performance of resources allocated among the customers to minimize performance related problems; preventing performance related problems by evaluating the impact of changes in resource allocations; reacting to performance alerts to resolve performance related problems; and determining the appropriate level of resource performance needed in service level agreements, and that these requirements detailed in the service level agreements are achieved. This Performance Management method ensures that the demands of the customers are not affected by the allocation and utilization of the shared IT resources.