Abstract: In a first method, a developer mode is determined when a workflow template patch is received, and execution of new workflow instances is either blocked or permitted, or continued execution of workflow instances is forbidden. In a second method, parallelization of workflow execution is provided in an in-memory database management system. In a third method, after received user privilege information, database records associated with a workflow are determined and stored for use at workflow instance runtime. In a fourth method, artifacts used by a workflow are identified using a workflow template. When a command to execute a workflow instance is received, information is stored for generating instances of artifacts for use during execution of the workflow instance. In a fifth method, for a workflow template to be inactivated, the associated workflow template is suspended after currently executing workflow instances have completed and job executors have acknowledged a suspending state.

Abstract: In a first method, a developer mode is determined when a workflow template patch is received, and execution of new workflow instances is either blocked or permitted, or continued execution of workflow instances is forbidden. In a second method, parallelization of workflow execution is provided in an in-memory database management system. In a third method, after received user privilege information, database records associated with a workflow are determined and stored for use at workflow instance runtime. In a fourth method, artifacts used by a workflow are identified using a workflow template. When a command to execute a workflow instance is received, information is stored for generating instances of artifacts for use during execution of the workflow instance. In a fifth method, for a workflow template to be inactivated, the associated workflow template is suspended after currently executing workflow instances have completed and job executors have acknowledged a suspending state.

Abstract: In a first method, a developer mode is determined when a workflow template patch is received, and execution of new workflow instances is either blocked or permitted, or continued execution of workflow instances is forbidden. In a second method, parallelization of workflow execution is provided in an in-memory database management system. In a third method, after received user privilege information, database records associated with a workflow are determined and stored for use at workflow instance runtime. In a fourth method, artifacts used by a workflow are identified using a workflow template. When a command to execute a workflow instance is received, information is stored for generating instances of artifacts for use during execution of the workflow instance. In a fifth method, for a workflow template to be inactivated, the associated workflow template is suspended after currently executing workflow instances have completed and job executors have acknowledged a suspending state.

Abstract: In a first method, a developer mode is determined when a workflow template patch is received, and execution of new workflow instances is either blocked or permitted, or continued execution of workflow instances is forbidden. In a second method, parallelization of workflow execution is provided in an in-memory database management system. In a third method, after received user privilege information, database records associated with a workflow are determined and stored for use at workflow instance runtime. In a fourth method, artifacts used by a workflow are identified using a workflow template. When a command to execute a workflow instance is received, information is stored for generating instances of artifacts for use during execution of the workflow instance. In a fifth method, for a workflow template to be inactivated, the associated workflow template is suspended after currently executing workflow instances have completed and job executors have acknowledged a suspending state.

Abstract: In a first method, a developer mode is determined when a workflow template patch is received, and execution of new workflow instances is either blocked or permitted, or continued execution of workflow instances is forbidden. In a second method, parallelization of workflow execution is provided in an in-memory database management system. In a third method, after received user privilege information, database records associated with a workflow are determined and stored for use at workflow instance runtime. In a fourth method, artifacts used by a workflow are identified using a workflow template. When a command to execute a workflow instance is received, information is stored for generating instances of artifacts for use during execution of the workflow instance. In a fifth method, for a workflow template to be inactivated, the associated workflow template is suspended after currently executing workflow instances have completed and job executors have acknowledged a suspending state.

Abstract: In a first method, a developer mode is determined when a workflow template patch is received, and execution of new workflow instances is either blocked or permitted, or continued execution of workflow instances is forbidden. In a second method, parallelization of workflow execution is provided in an in-memory database management system. In a third method, after received user privilege information, database records associated with a workflow are determined and stored for use at workflow instance runtime. In a fourth method, artifacts used by a workflow are identified using a workflow template. When a command to execute a workflow instance is received, information is stored for generating instances of artifacts for use during execution of the workflow instance. In a fifth method, for a workflow template to be inactivated, the associated workflow template is suspended after currently executing workflow instances have completed and job executors have acknowledged a suspending state.

Abstract: A system and method for monitoring activity of heterogeneous components of a business application are disclosed. A system includes a local event infrastructure within each of the heterogeneous components. The local event infrastructure includes an event manager to detect one or more events of the business application, and an event filter to filter the one or more events detected by the event manager. The system further includes a messaging platform to transmit messages indicative of filtered events from the local event infrastructure to a user interface of a central monitoring system, and a process log displayed in the user interface to generate and display a log of the one or more events.

Abstract: Subscriptions to stored data for different computer systems and mobile devices are generated based on distribution criteria and application data to control what portions of particular types of data should go to a particular computer system or mobile computing device, each of which may be identified as a data site. The particular type of data may include a business object type or a publication in a publish-and-subscribe model of data replication. The distribution criteria may include an attribute of the type of data to be distributed, or may be based on a relationship of data with an employee that uses a data site or on a responsibility of an employee that uses a data site. The distribution criteria also may include a query executable against portions of the application data or other types of complex processing logic.

Abstract: Subscriptions to stored data for different computer systems and mobile devices are generated based on distribution criteria and application data to control what portions of particular types of data should go to a particular computer system or mobile computing device, each of which may be identified as a data site. The particular type of data may include a business object type or a publication in a publish-and-subscribe model of data replication. The distribution criteria may include an attribute of the type of data to be distributed, or may be based on a relationship of data with an employee that uses a data site or on a responsibility of an employee that uses a data site. The distribution criteria also may include a query executable against portions of the application data or other types of complex processing logic.

Abstract: A system and method for monitoring activity of heterogeneous components of a business application are disclosed. A system includes a local event infrastructure within each of the heterogeneous components. The local event infrastructure includes an event manager to detect one or more events of the business application, and an event filter to filter the one or more events detected by the event manager. The system further includes a messaging platform to transmit messages indicative of filtered events from the local event infrastructure to a user interface of a central monitoring system, and a process log displayed in the user interface to generate and display a log of the one or more events.

Abstract: Subscriptions to stored data for different computer systems and mobile devices are generated based on distribution criteria and application data to control what portions of particular types of data should go to a particular computer system or mobile computing device, each of which may be identified as a data site. The particular type of data may include a business object type or a publication in a publish-and-subscribe model of data replication. The distribution criteria may include an attribute of the type of data to be distributed, or may be based on a relationship of data with an employee that uses a data site or on a responsibility of an employee that uses a data site. The distribution criteria also may include a query executable against portions of the application data or other types of complex processing logic.

Abstract: Subscriptions to stored data for different computer systems and mobile devices are generated based on distribution criteria and application data to control what portions of particular types of data should go to a particular computer system or mobile computing device, each of which may be identified as a data site. The particular type of data may include a business object type or a publication in a publish-and-subscribe model of data replication. The distribution criteria may include an attribute of the type of data to be distributed, or may be based on a relationship of data with an employee that uses a data site or on a responsibility of an employee that uses a data site. The distribution criteria also may include a query executable against portions of the application data or other types of complex processing logic.