Abstract: The disclosed embodiments relate to a system that facilitates performing searches based on qualitative search terms. During operation, the system receives a query that applies a qualitative search term to an attribute of data items in a set of data items. While executing the query, the system processes each data item in the set of data items by extracting an attribute value from the data item and then using a concept-mapping to determine a compatibility index for the attribute value, wherein the concept-mapping associates each attribute value with a numerical compatibility index that indicates a compatibility between the attribute value and the qualitative search term. Finally, the system uses the compatibility index as a factor in determining whether to include the data item in a set of query results.

Abstract: The disclosed embodiments relate to a system that updates a context that facilitates evaluating qualitative search terms for an attribute during query processing. During operation, the system extracts a value for the attribute from each data item in a set of data items. Next, the system updates the context based on the extracted attribute values, wherein the context includes a concept-mapping for one or more qualitative search terms applied to the attribute, and wherein each concept-mapping associates a given attribute value with a numerical compatibility index that indicates a compatibility between the given attribute value and a corresponding qualitative search term.

Abstract: The disclosed embodiments relate to a system that facilitates performing searches based on qualitative search terms. During operation, the system receives a query that applies a qualitative search term to an attribute of data items in a set of data items. While executing the query, the system processes each data item in the set of data items by extracting an attribute value from the data item and then using a concept-mapping to determine a compatibility index for the attribute value, wherein the concept-mapping associates each attribute value with a numerical compatibility index that indicates a compatibility between the attribute value and the qualitative search term. Finally, the system uses the compatibility index as a factor in determining whether to include the data item in a set of query results.

Abstract: A method and system is described that adaptively adjusts an eService management system by using feedback control. Behavior experts are distributed at different levels of the hierarchy of the eService management system. Within the hierarchy, feed-forward reasoning is performed from lower level behavior experts to the higher level behavior experts. A method for identifying bottlenecks is described and utilized. The performance of these behavior experts is compared with various objective functions. The discrepancies are used to adjust the system.

Abstract: An eService management framework is described that ensures quality of eService based on both the knowledge about the business process model of an e-service and the knowledge about the infrastructure that supports the e-service. In this framework, multiple local service management systems are deployed, each of which manages a part of the infrastructure to ensure the performance of a local system and then reports corresponding performance status of each local system to a dispatcher. Based on the performance status information routed through the dispatcher stored in the global data repository by the local service management systems, a global eService management ensures the quality of the eService by managing the infrastructure based on the business process model of the eService.

Abstract: A uniform data model for an event is described. The model consists of multiple categories, each of which includes multiple measures with each of the measures represented by either a quantitative or qualitative value. In constructing an event representation in accordance with the uniform data model, a category, to which the event belongs, is determined first. One or more measurement type, based on which the event is triggered, is then specified. The values of the selected measurements, either quantitative or qualitative, are then incorporated into the uniform data representation for the event.

Abstract: A method and system is described that determines, by a behavior expert, the performance of an infrastructure component based on the observation data relevant to the operational status of the infrastructure component. The behavior expert instantiates the values of a set of internal variables based on the observation data. It then transforms zero or more of its internal states according to a set of metric rules, employed internally by the behavior expert, based on the values of the instantiated variables. The updates in states may then trigger the generation of zero or more events, indicating the performance of the infrastructure component, according to a set of behavior rules, employed by the behavior expert.

Abstract: A method and system is described that adaptively adjusts an eService management system by using feedback control. Behavior experts are distributed at different levels of the hierarchy of the eService management system. Within the hierarchy, feed-forward reasoning is performed from lower level behavior experts to the higher level behavior experts. A method for identifying bottlenecks is described and utilized. The performance of these behavior experts is compared with various objective functions. The discrepancies are used to adjust the system.