Schedulability Analysis for Timed Automata With Tasks
Schedulability Analysis for Timed Automata With Tasks
复制标题
带任务的定时自动机的可调度性分析
DOI:
10.1145/3477020
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发表时间:
2021-09
影响因子:
2
通讯作者:
Wang Yi
中科院分区:
文献类型:
--
作者:
Jinghao Sun;Nan Guan;Rongxiao Shi;Guozhen Tan;Wang Yi
Research on modeling and analysis of real-time computing systems has been done in two areas, model checking and real-time scheduling theory. In model checking, an expressive modeling formalism such as timed automata (TA) is used to model complex systems, but the analysis is typically very expensive due to state-space explosion. In real-time scheduling theory, the analysis techniques are highly efficient, but the models are often restrictive. In this paper, we aim to exploit the possibility of applying efficient analysis techniques rooted in real-time scheduling theory to analysis of real-time task systems modeled by timed automata with tasks (TAT). More specifically, we develop efficient techniques to analyze the feasibility of TAT-based task models (i.e., whether all tasks can meet their deadlines on single-processor) using demand bound functions (DBF), a widely used workload abstraction in real-time scheduling theory. Our proposed analysis method has a pseudo-polynomial time complexity if the number of clocks used to model each task is bounded by a constant, which is much lower than the exponential complexity of the traditional model-checking based analysis approach (also assuming the number of clocks is bounded by a constant). We apply dynamic programming techniques to implement the DBF-based analysis framework, and propose state space pruning techniques to accelerate the analysis process. Experimental results show that our DBF-based method can analyze a TAT system with 50 tasks within a few minutes, which significantly outperforms the state-of-the-art TAT-based schedulability analysis tool TIMES.
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DOI:
--
发表时间:
1967
期刊:
--
影响因子:
--
作者:
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通讯作者:
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DOI:
10.1109/ipdps.2003.1213431
发表时间:
2003-04
期刊:
Proceedings International Parallel and Distributed Processing Symposium
影响因子:
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Yasmina Abdeddaïm;Abdelkarim Kerbaa;O. Maler
DOI:
10.1109/rtss.2005.21
发表时间:
2005-12
期刊:
26th IEEE International Real-Time Systems Symposium (RTSS'05)
影响因子:
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通讯作者:
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DOI:
10.1016/j.tcs.2005.11.018
发表时间:
2006-03
期刊:
Theor. Comput. Sci.
影响因子:
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通讯作者:
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DOI:
10.1109/rtss.2010.19
发表时间:
2010-11
期刊:
2010 31st IEEE Real-Time Systems Symposium
影响因子:
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作者:
Sanjoy Baruah
通讯作者:
Sanjoy Baruah