Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose a novel analytical method, called scheduling time bound analysis, to find a tight upper bound of the worst-case response time in a distributed real-time embedded system, considering execution time variations of tasks, jitter of input arrivals, and scheduling anomaly behavior in a multi-tasking system all together. By analyzing the graph topology and worst-case scheduling scenarios,  measure the conservative scheduling time bound of each task. The proposed method supports an arbitrary mixture of preemptive and non-preemptive processing elements. Its speed is comparable to compositional approaches while it gives a much tighter bound. The advantages of the proposed approach compared with related work re verified by experimental results with randomly generated task graphs and a real-life automotive application.
['Jinwoo Kim', 'Hyunok Oh', 'Junchul Choi', 'Hyojin Ha', 'Soonhoi Ha']
I am writing a research paper on a idea A novel analytical method for worst case response time estimation of distributed embedded systems
[{"from": "human", "value": "I am writing a research paper on a idea A novel analytical method for worst case response time estimation of distributed embedded systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose a novel analytical method, called scheduling time bound analysis, to find a tight upper bound of the worst-case response time in a distributed real-time embedded system, considering execution time variations of tasks, jitter of input arrivals, and scheduling anomaly behavior in a multi-tasking system all together. By analyzing the graph topology and worst-case scheduling scenarios,  measure the conservative scheduling time bound of each task. The proposed method supports an arbitrary mixture of preemptive and non-preemptive processing elements. Its speed is comparable to compositional approaches while it gives a much tighter bound. The advantages of the proposed approach compared with related work re verified by experimental results with randomly generated task graphs and a real-life automotive application."}]