.png){kind=icon}
返回
Comparing Communication Paradigms in Cause-Effect Chains
.png){kind=icon}
PRE
AI
DOI：10.1109/TC.2022.3197082.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A cause-effect chain is a sequence of multi-rate real-time tasks with data dependency. Cause-effect chains are generally subject to end-to-end timing constraints, especially in safety-critical systems. Communication paradigms greatly affect the end-to-end latency of cause-effect chains. This paper compares different communication paradigms (implicit communication, LET, DBP) with regards to the end-to-end latency of cause-effect chains using them, and proposes priority assignment strategies to optimize the end-to-end latency with specific communication paradigm. Experiments with synthesized data based on an automotive benchmark and randomly generated parameters are conducted to evaluate our results.
Keyword:
Cause-effect chains
end-to-end latency
priority assignment
communication paradigms
期刊
IF:
3.8
论文数:
5.4K
被引数:
9.8K
机构
引用论文
.png){kind=icon}
分享收藏Modification of Barrier Properties of Polymeric Films of LDPE and HDPE by Cold Plasma Treatment
PREAI
分享收藏
查看更多内容