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Real-time stream processing applications executed on embedded multiprocessor systems often have strict throughput and latency constraints. Violating these constraints is undesired and temporal analysis methods are therefore used to prevent such violations. These analysis methods use abstractions of the analyzed applications to simplify their temporal analysis.
The FSM-based scenario-aware data ow (FSM-SADF) model of computation has been introduced to facilitate the analysis of dynamic streaming applications. FSM-SADF interprets application's execution as an execution of a sequence of static modes of operation called scenarios. Each scenario is modeled using a synchronous data ow (SDF) graph (SDFG), while a finite-state machine (FSM) is used to encode scenario...
For two main problems of the existing stream processing model: lack of support for iterative computing and tight coupling, the paper proposes a real-time stream processing model based on directed graph with sources and sinks, which supports both general DAG computing by means of directed circle detection and iteration protection as well as iterative feedback stream computing of directed circles, tow-way...
The design of wireless embedded systems needs their efficient and realistic simulation to verify that requirements are met. The reproduction of communication behavior is crucial to assess the performance of hardware and software components, e.g., dependability and energy consumption. This work presents and discusses different levels of abstraction for the simulation of the communication behavior....
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