Abstract: This disclosure describes systems, methods, and computer-readable media for optimizing data collection in a distributed environment by leveraging real-time and historical data collection performance statistics and server performance data. In some configurations, a computing device can be initially configured for data collection. In such configurations, the initial configuration can include preferred target servers for a particular task. The computing device can request batches of data from the preferred target servers, and process the information through a buffer. Techniques and technologies described herein collect the batches of data from servers as well as corresponding data collection statistics (e.g., server performance per task, server historical performance, etc.) and server performance data (e.g. server status).

Abstract: Dynamic user training rules can be employed to organize content within a folder. Each folder can be associated with a dynamic rule that defines a number of attribute and weighting factor associations and a folder threshold. Each attribute and weighting factor association can identify an attribute that is common among the contents of the smart folder and associate a weighting factor with the common attribute. Whenever a user manually moves content into or out of the smart folder, the attribute and weighting factor associations and possibly the folder threshold can be updated accordingly, such as by adjusting a value of one or more weighting factors to better reflect how common they are after the content has been manually moved into or out of the folder. In this way, the dynamic rule is automatically updated in response to the user's interaction with the smart folder.

Abstract: This disclosure describes systems, methods, and computer-readable media for optimizing data collection in a distributed environment by leveraging real-time and historical data collection performance statistics and server performance data. In some configurations, a computing device can be initially configured for data collection. In such configurations, the initial configuration can include preferred target servers for a particular task. The computing device can request batches of data from the preferred target servers, and process the information through a buffer. Techniques and technologies described herein collect the batches of data from servers as well as corresponding data collection statistics (e.g., server performance per task, server historical performance, etc.) and server performance data (e.g. server status).

Abstract: Dynamic user training rules can be employed to organize content within a folder. Each folder can be associated with a dynamic rule that defines a number of attribute and weighting factor associations and a folder threshold. Each attribute and weighting factor association can identify an attribute that is common among the contents of the smart folder and associate a weighting factor with the common attribute. Whenever a user manually moves content into or out of the smart folder, the attribute and weighting factor associations and possibly the folder threshold can be updated accordingly, such as by adjusting a value of one or more weighting factors to better reflect how common they are after the content has been manually moved into or out of the folder. In this way, the dynamic rule is automatically updated in response to the user's interaction with the smart folder.

Abstract: In one embodiment, a method includes receiving a request for web-widget manipulation. The request includes a scope of manipulation. The method further includes identifying at least one managed web widget as being covered by the scope of manipulation. In addition, the method includes identifying at least one instance of the at least one managed web widget as being covered by the scope of manipulation. Further, the method includes extracting a plurality of user-interface (UI) display items relative to the at least one managed web widget and the at least one instance. The plurality of UI display items includes at least one global UI display item and at least one website-level UI display item.

Abstract: In one embodiment, a method includes receiving a request for web-widget manipulation. The request includes a scope of manipulation. The method further includes identifying at least one managed web widget as being covered by the scope of manipulation. In addition, the method includes identifying at least one instance of the at least one managed web widget as being covered by the scope of manipulation. Further, the method includes extracting a plurality of user-interface (UI) display items relative to the at least one managed web widget and the at least one instance. The plurality of UI display items includes at least one global UI display item and at least one website-level UI display item.