From Offline toward Real Time: A Hybrid Systems Model Checking and CPS Codesign Approach for Medical Device Plug-and-Play Collaborations

2014 ◽  
Vol 25 (3) ◽  
pp. 642-652 ◽  
Author(s):  
Tao Li ◽  
Feng Tan ◽  
Qixin Wang ◽  
Lei Bu ◽  
Jian-Nong Cao ◽  
...  
2011 ◽  
Vol 8 (2) ◽  
pp. 7-10 ◽  
Author(s):  
Lei Bu ◽  
Qixin Wang ◽  
Xin Chen ◽  
Linzhang Wang ◽  
Tian Zhang ◽  
...  

2003 ◽  
Author(s):  
Edmund Clarke ◽  
Ansgar Fehnker ◽  
Zhi Han ◽  
Bruce Krogh ◽  
Joel Ouaknine ◽  
...  

Energy ◽  
2021 ◽  
Vol 222 ◽  
pp. 119918
Author(s):  
Carlos D. Rodríguez-Gallegos ◽  
Lokesh Vinayagam ◽  
Oktoviano Gandhi ◽  
Gokhan Mert Yagli ◽  
Manuel S. Alvarez-Alvarado ◽  
...  
Keyword(s):  

2021 ◽  
Vol 20 (5s) ◽  
pp. 1-26
Author(s):  
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.


1994 ◽  
Vol 111 (2) ◽  
pp. 193-244 ◽  
Author(s):  
T.A. Henzinger ◽  
X. Nicollin ◽  
J. Sifakis ◽  
S. Yovine

2017 ◽  
Vol 20 (5) ◽  
pp. 547-561 ◽  
Author(s):  
Ehsan Khamespanah ◽  
Marjan Sirjani ◽  
Kirill Mechitov ◽  
Gul Agha

Sign in / Sign up

Export Citation Format

Share Document