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- W3117395410 abstract "Many cyber-physical applications consist of chains of tasks. Such tasks are often loosely dependent, meaning task execution is time-triggered and independent of the update rate of input data. Since meaningful output can be obtained after processing all the intermediate tasks of a chain, the end-to-end latency of the chain is an important metric that can affect the correctness and quality of the system. In this paper, we present a chain-based fixed-priority preemptive scheduler for multicore real-time systems. The scheduler identifies effective chain instances contributing to the generation of updated output, and employs a runtime policy to improve the end-to-end latency of chains. Based on our scheduler, an analysis method is proposed with two parts: (i) bounding the start and finish time of each job, and (ii) analyzing the end-to-end latency of effective chain instances. Experimental results show that our chain-based scheduler achieves up to 83% reduction in end-to-end latency compared to the state-of-the-art and yields a significant benefit in inter-chain distance over chain-unaware schedulers. Furthermore, our analysis method can be easily adapted to chain-unaware schedulers and provides tighter bounds than prior work." @default.
- W3117395410 created "2021-01-05" @default.
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- W3117395410 date "2020-10-01" @default.
- W3117395410 modified "2023-09-24" @default.
- W3117395410 title "Chain-Based Fixed-Priority Scheduling of Loosely-Dependent Tasks" @default.
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- W3117395410 doi "https://doi.org/10.1109/iccd50377.2020.00109" @default.
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