This dissertation addresses the problem of designing hard real-time streaming systems running a set of parallel streaming programs in an automated way such that the programs provably meet their timing requirements. A scheduling framework is proposed with which it is analytically proven that any streaming program, modeled as an acyclic Cyclo-Static Dataflow (CSDF) graph, can be executed as a set of real-time periodic tasks. The proposed framework computes the parameters of the periodic tasks corresponding to the graph actors and the minimum buffer sizes of the communication channels such that a valid periodic schedule is guaranteed to exist. In order to demonstrate the effectiveness of the proposed scheduling framework, a system-level design flow that incorporates the scheduling framework is proposed. This proposed design flow accepts, as input, algorithmic sequential specifications of streaming programs, and then applies a set of systematic and automated steps that produce, as output, the final system implementation, which provably meets the timing requirements of the programs. The final system implementation consists of the parallelized versions of the input streaming programs together with the hardware needed to run them. The proposed scheduling framework and design flow are evaluated through a set of experiments. These experiments illustrate the effectiveness of the proposed scheduling framework and design flow.Computer Systems, Imagery and Medi
