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Some simulation frameworks allow the time of an event to be specified as an interval, giving the start time and the end time of each event. Single-threaded simulation engines based on instantaneous events have just one current event. The state trajectory over time S t can be mathematically represented by a step function whose value can change whenever an event occurs.
During the model development process, you can choose different simulation modes for different portions of a model. Note An exception to this rule occurs when you run multiple simulations, each of which executes in less than one second in Normal mode. It is common for the event code to be parametrized, in which case, the event description also contains parameters to the event code. In the bank example, it is of interest to track the mean waiting times.
We have created an Additional Specifications Document that provides more of these important details. For details, see Simulate Model Hierarchies. An event is described by the time at which it occurs and a type, indicating the code that will be used to simulate that event.
In this example, the system entities are Customer-queue and Tellers. When events are instantaneous, activities that extend over time are modeled as sequences of events. The event driven algorithm provided by mixed-mode simulators is general purpose and supports non-digital types of data. Normal mode offers the greatest flexibility for making model adjustments and displaying results, but it runs the slowest.
Comparing Modes The following table compares the characteristics of Normal mode, Accelerator mode, and Rapid Accelerator mode. If the top-level model uses Normal mode, then you can simulate a referenced model in a different simulation mode than you use for other portions of a model.
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