of abstraction and coarse granularity and distributed communication control. Focusing on using probabilistic metrics such as average values or variance to quantify design objective...
rs use models or abstractions that hide low-level implementation details. Various kinds of representations such as data models, state-transition models, and dataflow models can hel...
tail defines the level of abstraction used to implement the model's components. A highly detailed model will faithfully simulate all aspects of machine operation, whether or n...