Abstract: A computer-implemented method for placement of a plurality of application objects of an application within a network architecture is disclosed. The method includes generating during runtime of the application, an application topology model for the application, based on application metrics for the plurality of application objects. A resource topology model of a plurality of network nodes within the network architecture is generated based on resource metrics for the network nodes. A recommendation is generated for migrating an application object of the plurality of application objects to a network node of the plurality of network nodes using the application topology model and the resource topology model, the recommendation identifying the application object and the network node. The application object is migrated to the network node identified by the recommendation.

Abstract: A computer-implemented method for placement of a plurality of application objects of an application within a network architecture is disclosed. The method includes generating during runtime of the application, an application topology model for the application, based on application metrics for the plurality of application objects. A resource topology model of a plurality of network nodes within the network architecture is generated based on resource metrics for the network nodes. A recommendation is generated for migrating an application object of the plurality of application objects to a network node of the plurality of network nodes using the application topology model and the resource topology model, the recommendation identifying the application object and the network node. The application object is migrated to the network node identified by the recommendation.

Abstract: Event stream attributes are analyzed to determine whether the attributes are of a statistical enumerated type, or, in other words, whether the attributes comprise statistically fixed sets of unique values, for instance. The analysis can involve determining a magnitude of change to a set of unique attribute values. In one instance, such a determination can be performed as a function of a number, or count, of unique values. Further, event stream processing can be performed dynamically, for instance, by partitioning data into time intervals and processing the intervals incrementally.

Abstract: Event stream attributes are analyzed to determine whether the attributes are of a statistical enumerated type, or, in other words, whether the attributes comprise statistically fixed sets of unique values, for instance. The analysis can involve determining a magnitude of change to a set of unique attribute values. In one instance, such a determination can be performed as a function of a number, or count, of unique values. Further, event stream processing can be performed dynamically, for instance, by partitioning data into time intervals and processing the intervals incrementally.

Abstract: Time-based event stream attributes are analyzed to determine whether the attributes are of a statistical enumerated type, or, in other words, whether the attributes comprise statistically fixed sets of unique values, for instance. The analysis can involve determining a magnitude of change to a set of unique attribute values. In one instance, such a determination can be performed as a function of a number, or count, of unique values. Further, event stream processing can be performed dynamically, for instance, by partitioning data into time intervals and processing the intervals incrementally.

Abstract: Methods and systems for providing translation assistance are disclosed. A method includes: storing translation data representing changes to translations during a time interval between a first time and a second time; building the source code project into a reference application in the second language, comprising: replacing an identifier of each text message in the source code project with a translation of the text message in the second language made at the second time, and for a text message whose translation has changed during the time interval, inserting the identifier of the text message whose translation has changed as hidden information associated with the translation of the text message; and rendering the reference application for presentation to a user for translation checking, including highlighting the text messages that have an associated hidden identifier.

Abstract: Methods and systems for providing translation assistance are disclosed. A method includes: storing translation data representing changes to translations during a time interval between a first time and a second time; building the source code project into a reference application in the second language, comprising: replacing an identifier of each text message in the source code project with a translation of the text message in the second language made at the second time, and for a text message whose translation has changed during the time interval, inserting the identifier of the text message whose translation has changed as hidden information associated with the translation of the text message; and rendering the reference application for presentation to a user for translation checking, including highlighting the text messages that have an associated hidden identifier.

Abstract: Time-based event stream attributes are analyzed to determine whether the attributes are of a statistical enumerated type, or, in other words, whether the attributes comprise statistically fixed sets of unique values, for instance. The analysis can involve determining a magnitude of change to a set of unique attribute values. In one instance, such a determination can be performed as a function of a number, or count, of unique values. Further, event stream processing can be performed dynamically, for instance, by partitioning data into time intervals and processing the intervals incrementally.