In this example we are interested in the steady state behavior of the system. To solve the model, click on the Analytical Model Solution button. Choose the Exact or Iterative Methods. In this case, you can choose any method.
After this step, we are able to calculate the measures of interest. For example the user can obtain the of the number of active sources, and the probability that the number of on-off sources is greater than a given value conditioned on the queue being at its maximum value.
Choose the Measures of Interest module. Then choose the , select the state variable active_sources, and click on Plot to obtain the first measure above.
Now assume that you want to solve this model by simulation. Please refer to
chapter and the section on messages and events to learn
about the event execution process. The model above can
be immediately simulated. Recall that an enabled event
is not re-sampled if
another event triggers and
remains enabled in the new state. The following
situation occurs in the example above. Assume that only one source is active.
Then 2 events of the object source can trigger in this state and 2 samples are
in the event list. Assume that the event corresponding to the disabling of a
source triggers. The event corresponding to enabling a source remains in the
event list. However, this event was generated with rate
. When it triggers, the new state
will be one active source and therefore no event with rate
will ever be generated. The user should
follow the steps in chapter
to build a model that generates
new samples of events after an action (even if the events remain enabled), and
compare the resulting models.
Guilherme Dutra Gonzaga Jaime 2010-10-27