Abstract: Embodiments map a source schema to a target schema using a feature store. Embodiments receive a file including a plurality of source schema elements and a plurality of target schema elements, the file including a plurality of unmapped elements. Embodiments retrieve rule based mappings for the unmapped elements between the source schema elements and the target schema elements. Based on semantic matching of the source schema elements, embodiments retrieve feature store based mappings from the feature store for the unmapped elements between the source schema elements and the target schema elements. Embodiments then generate one or more similarity scores for mappings of the source schema elements to the target schema elements.

Abstract: In accordance with an embodiment, a service, application, or other component can operate in association with a virtual machine at a computer server or device. The system can determine memory heap usage based on collected metrics, via one or more push and/or pull communications of data, and automatically adjust or tune concurrent processing of registered components, in response to such determination. In accordance with an embodiment, the system is extensible to support different low memory conditions and different components that require tuning of their processes. Datasets describing information such as heap usage, garbage collection, and stuck threads, can be captured and stored; and machine learning processes applied to those datasets, to deduce new low memory conditions. If memory pressure continues to be high, and is not controlled by tuning component processes, the system can determine likelihood of a memory leak, and restart the server.

Abstract: In accordance with an embodiment, a service, application, or other component can operate in association with a virtual machine at a computer server or device. The system can determine memory heap usage based on collected metrics, via one or more push and/or pull communications of data, and automatically adjust or tune concurrent processing of registered components, in response to such determination. In accordance with an embodiment, the system is extensible to support different low memory conditions and different components that require tuning of their processes. Datasets describing information such as heap usage, garbage collection, and stuck threads, can be captured and stored; and machine learning processes applied to those datasets, to deduce new low memory conditions. If memory pressure continues to be high, and is not controlled by tuning component processes, the system can determine likelihood of a memory leak, and restart the server.

Abstract: An aspect of the present disclosure provides run-time adaption of external properties controlling operation of applications. In one embodiment, a setup data is maintained indicating conditions and properties that control the operation of applications. Each property is associated with a corresponding condition in the setup data to indicate that the property is to be configured upon satisfaction of the corresponding condition. In response to determining that a specific condition indicated in the setup data has been satisfied, a set of properties that is associated with the determined condition is identified. The applications are then automatically configured to thereafter operate with the identified set of properties.

Abstract: An aspect of the present disclosure provides run-time adaption of external properties controlling operation of applications. In one embodiment, a setup data is maintained indicating conditions and properties that control the operation of applications. Each property is associated with a corresponding condition in the setup data to indicate that the property is to be configured upon satisfaction of the corresponding condition. In response to determining that a specific condition indicated in the setup data has been satisfied, a set of properties that is associated with the determined condition is identified. The applications are then automatically configured to thereafter operate with the identified set of properties.