Abstract: A computer-implemented process for managing configurable resource policies executes a resource expression associated with a received user selection to extract information from an executing simulation. Responsive to a determination that there are no more user selections to process, a set of rules is selected using the user selections and resource expression to populate a resource template using extracted information and selected rules. A resource policy is generated using the populated template. The generated resource policy is applied to the executing simulation, wherein behavior of the executing simulation is modified.

Abstract: The illustrative embodiments described herein provide a computer implemented method, apparatus, and computer program product for managing a flow model simulation. In an illustrative embodiment, annotated simulation settings are associated with a source model in response to receiving the source model. The annotated simulation settings are derived from at least one of a set of user-defined simulation settings and default simulation settings. The annotated source model is transformed into an internal domain model using a set of links that are generated using a set of link rules. The set of links maps a set of source model elements to a set of internal domain model elements of the internal domain model. Results from a simulation of the internal domain model are mapped back to the source model to identify a context for the results. Thereafter, a target view model is generated from the internal domain model. The target view model includes the results presented in the context of the source model.

Abstract: A computer-implemented process for managing configurable resource policies executes a resource expression associated with a received user selection to extract information from an executing simulation. Responsive to a determination that there are no more user selections to process, a set of rules is selected using the user selections and resource expression to populate a resource template using extracted information and selected rules. A resource policy is generated using the populated template. The generated resource policy is applied to the executing simulation, wherein behavior of the executing simulation is modified.

Abstract: An apparatus, method, and computer program product to simulate a business process model wherein a decision node may be modeled using a fair selection process or a random selection process, as selected by an end user. The fair selection process may provide a distribution of invocations among the outgoing paths of a decision node that substantially matches the probabilities assigned to those paths. A fair selection process may do this independent of the number of invocations of the decision node. A random selection process may provide random invocations among the outgoing paths of a decision node according the probabilities assigned to those paths.

Abstract: The illustrative embodiments described herein provide a computer implemented method, apparatus, and computer program product for managing a flow model simulation. In an illustrative embodiment, annotated simulation settings are associated with a source model in response to receiving the source model. The annotated simulation settings are derived from at least one of a set of user-defined simulation settings and default simulation settings. The annotated source model is transformed into an internal domain model using a set of links that are generated using a set of link rules. The set of links maps a set of source model elements to a set of internal domain model elements of the internal domain model. Results from a simulation of the internal domain model are mapped back to the source model to identify a context for the results. Thereafter, a target view model is generated from the internal domain model. The target view model includes the results presented in the context of the source model.

Abstract: A business process simulation system for scheduling token arrival in a business process simulation is provided. The system includes a frequency module for receiving user input defining a frequency of token arrival; a duration module for receiving user input defining at least one repeatable valid duration of availability to receive tokens; an exemption module for receiving user input defining an exemption duration within the availability duration; and a timer module for receiving user input defining a recurring timer calendar for the business process simulation. The system also includes a token scheduling controller, wherein the token scheduling controller is adapted to process instructions corresponding to the user inputs and sending token scheduling instructions corresponding to the user-defined parameters to the business process simulation.

Abstract: A business process simulation system for scheduling token arrival in a business process simulation is provided. The system includes a frequency module for receiving user input defining a frequency of token arrival; a duration module for receiving user input defining at least one repeatable valid duration of availability to receive tokens; an exemption module for receiving user input defining an exemption duration within the availability duration; and a timer module for receiving user input defining a recurring timer calendar for the business process simulation. The system also includes a token scheduling controller, wherein the token scheduling controller is adapted to process instructions corresponding to the user inputs and sending token scheduling instructions corresponding to the user-defined parameters to the business process simulation.

Abstract: Embodiments of the present invention address deficiencies of the art with respect to event driven simulation and provide a method, data processing system and computer program product for mapping a process model for use in a generic simulation engine. In an embodiment of the invention, a generic model simulation method can include mapping a specifically formatted process representation into a generic process model, and providing the generic process model to a simulation engine. The method further can include executing a simulation on the generic process model in lieu of executing the simulation on the specifically formatted process representation.