Abstract: A method synchronizes data between a first computer and a second computer. An original first data in a first computer is changed into revised first data in the first computer by inserting a data change into the original first data. The data change in the revised first data is identified and transmitted to a second computer in a message. The message instructs the second computer to convert an original second data stored in the second computer into a revised second data by inserting the data change into the original second data, where the original second data and the revised second data are used and managed by a resident application software on the second computer. The message is executable without use of the resident application software on the second computer, thus allowing changes to be made across disparate platforms.

Abstract: A method synchronizes data between a first computer and a second computer. An original first data in a first computer is changed into revised first data in the first computer by inserting a data change into the original first data. The data change in the revised first data is identified and transmitted to a second computer in a message. The message instructs the second computer to convert an original second data stored in the second computer into a revised second data by inserting the data change into the original second data, where the original second data and the revised second data are used and managed by a resident application software on the second computer. The message is executable without use of the resident application software on the second computer, thus allowing changes to be made across disparate platforms.

Abstract: A system and/or computer program product synchronizes data between a first computer and a second computer. An original first data in a first computer is changed into revised first data in the first computer by inserting a data change into the original first data. The data change in the revised first data is identified and transmitted to a second computer in a message. The message instructs the second computer to convert an original second data stored in the second computer into a revised second data by inserting the data change into the original second data, where the original second data and the revised second data are used and managed by a resident application software on the second computer. The message is executable without use of the resident application software on the second computer, thus allowing changes to be made across disparate platforms.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to expert modeling in a KM system and provide method, system and computer program product for organically ranked knowledge and categorization for a KM system. In one embodiment of the invention, a method for organically ranked knowledge and categorization in a KM system can be provided. The method can include bookmarking answer content for a first end user of the knowledge management system, suggesting a set of categories previously associated with the answer content by other end users of the knowledge management system, and categorizing the bookmarked answer content with a category selected from the set of categories.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to expert modeling in a KM system and provide method, system and computer program product for organically ranked knowledge and categorization for a KM system. In one embodiment of the invention, a method for organically ranked knowledge and categorization in a KM system can be provided. The method can include bookmarking answer content for a first end user of the knowledge management system, suggesting a set of categories previously associated with the answer content by other end users of the knowledge management system, and categorizing the bookmarked answer content with a category selected from the set of categories.

Abstract: A system and/or computer program product synchronizes data between a first computer and a second computer. An original first data in a first computer is changed into revised first data in the first computer by inserting a data change into the original first data. The data change in the revised first data is identified and transmitted to a second computer in a message. The message instructs the second computer to convert an original second data stored in the second computer into a revised second data by inserting the data change into the original second data, where the original second data and the revised second data are used and managed by a resident application software on the second computer. The message is executable without use of the resident application software on the second computer, thus allowing changes to be made across disparate platforms.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to expert modeling in a KM system and provide method, system and computer program product for organically ranked knowledge and categorization for a KM system. In one embodiment of the invention, a method for organically ranked knowledge and categorization in a KM system can be provided. The method can include bookmarking answer content for a first end user of the knowledge management system, suggesting a set of categories previously associated with the answer content by other end users of the knowledge management system, and categorizing the bookmarked answer content with a category selected from the set of categories.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to expert modeling in a KM system and provide method, system and computer program product for organically ranked knowledge and categorization for a KM system. In one embodiment of the invention, a method for organically ranked knowledge and categorization in a KM system can be provided. The method can include bookmarking answer content for a first end user of the knowledge management system, suggesting a set of categories previously associated with the answer content by other end users of the knowledge management system, and categorizing the bookmarked answer content with a category selected from the set of categories.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to expert modeling in a KM system and provide method, system and computer program product for organically ranked knowledge and categorization for a KM system. In one embodiment of the invention, a method for organically ranked knowledge and categorization in a KM system can be provided. The method can include bookmarking answer content for a first end user of the knowledge management system, suggesting a set of categories previously associated with the answer content by other end users of the knowledge management system, and categorizing the bookmarked answer content with a category selected from the set of categories.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to expert modeling in a KM system and provide method, system and computer program product for organically ranked knowledge and categorization for a KM system. In one embodiment of the invention, a method for organically ranked knowledge and categorization in a KM system can be provided. The method can include bookmarking answer content for a first end user of the knowledge management system, suggesting a set of categories previously associated with the answer content by other end users of the knowledge management system, and categorizing the bookmarked answer content with a category selected from the set of categories.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to expert modeling in a KM system and provide method, system and computer program product for organically ranked knowledge and categorization for a KM system. In one embodiment of the invention, a method for organically ranked knowledge and categorization in a KM system can be provided. The method can include bookmarking answer content for a first end user of the knowledge management system, suggesting a set of categories previously associated with the answer content by other end users of the knowledge management system, and categorizing the bookmarked answer content with a category selected from the set of categories.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to expert modeling in a KM system and provide method, system and computer program product for organically ranked knowledge and categorization for a KM system. In one embodiment of the invention, a method for organically ranked knowledge and categorization in a KM system can be provided. The method can include bookmarking answer content for a first end user of the knowledge management system, suggesting a set of categories previously associated with the answer content by other end users of the knowledge management system, and categorizing the bookmarked answer content with a category selected from the set of categories.

Abstract: A system and method for monitoring a set of performance metrics is described. The methods include metric correlation and grouping methods that analyze a group of temporally related metrics, and correlate pairs of the metrics in the group. In one embodiment, rank correlation techniques are used to perform this correlation. Methods are also described for grouping metrics using a dynamic correlation pair graph that preserves all of the correlated relationships. This correlation pair graph may be used to determine which metrics are associated with a particular key metric, which may provide information on the cause of an alarm or other event involving the key metric. Another embodiment includes apparatus for correlating, grouping, and identifying the metrics.

Abstract: A system and method for monitoring a set of performance metrics is described. The methods include metric correlation and grouping methods that analyze a group of temporally related metrics, and correlate pairs of the metrics in the group. In one embodiment, rank correlation techniques are used to perform this correlation. Methods are also described for grouping metrics using a dynamic correlation pair graph that preserves all of the correlated relationships. This correlation pair graph may be used to determine which metrics are associated with a particular key metric, which may provide information on the cause of an alarm or other event involving the key metric. Another embodiment includes apparatus for correlating, grouping, and identifying the metrics.

Abstract: Disclosed is a server architecture for connecting to a plurality of remote client computers each seeking access to applications resident on the server. The architecture provides (1) a reliable, single point of entry for client users that enforces security and recovers immediately from failures; (2) connection management that monitors the user's level of online activity, terminating inactive connections both to save system resources and to limit unnecessary connection charges to the user; (3) application management that spreads users optimally among active application instances, maintaining a pool of available applications, initiating new instances when the pool is low, and which records a user's utilization of different applications for billing purposes; (4) system integrity, which is achieved through division of transaction-management responsibility among the various interrelated components of the invention; and (5) continuous, uninterrupted operation.

Abstract: Disclosed is an object-oriented approach to storage and transmission of retrievable items in a client-server computer environment. Special processing modules manage retrieval and permanent storage, on client computers, of requested objects in a manner that minimizes unnecessary transmission and storage. The user enters a "subscription" in connection with items related to hierarchically inferior items. The subscription specifies the amount of information the user desires to download and store locally with respect to a specified hierarchical depth level. The invention also includes a pruning module for deleting, from local storage, items inconsistent with the subscription and which the user does not explicitly indicate a desire to store, and a facility for updating locally stored items upon re-establishment of communication with the server.