Simulation-based evaluation of real-time multiprocessor scheduling strategies

Simulation can be an approximate performance evaluation method of real-time scheduling strategies. This method is useful when the analytical evaluation is too complex to be put in practice. In this paper we use simulation to evaluate the performance of Rate Monotonic and FIFO scheduling algorithms in different multiprocessor scheduling approaches. We present the design of our real-time scheduling simulation tool and the loose clustered scheduling approach as a result of our research.