From Offline Long-Run to Online Short-Run: Exploring A New Approach of Hybrid Systems Model Checking for MDPnP
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1 From Offline Long-Run to Online Short-Run: Exploring A New Approach of Hybrid Systems Model Checking for MDPnP Tao Li*, Qixin Wang*, Feng Tan*, Lei Bu, Jian-nong Cao*, Xue Liu, Yufei Wang*, Rong Zheng *The Hong Kong Polytechnic Univ. CPS Week 2011
2 Content Demand Background Challenge Solution Evaluation Related Work
3 Content Demand Background Challenge Solution Evaluation Related Work
4 MDPnP leads to better safety, capability, and convenience of medical settings.
5 MDPnP can help prevent many serious/lethal accidents in medical settings.
6 Following the success of requiring avionics to be verifiably safe MDPnP to be verifiably safe.
7 Content Demand Background Challenge Solution Evaluation Related Work
8 A key tool for traditional computer systems verification is model checking.
9 Computer systems model checking verifies safety, liveliness, persistence, and other properties.
10 MDPnP is not just a computer system, it is a hybrid of computer & other systems, i.e., CPS. Laser Tracheotomy MDPnP
11 MDPnP is not just a computer system, it is a hybrid of computer & other systems, i.e., CPS. Computer Laser Tracheotomy MDPnP
12 MDPnP is not just a computer system, it is a hybrid of computer & other systems, i.e., CPS. Computer Biochemical Laser Tracheotomy MDPnP
13 MDPnP is not just a computer system, it is a hybrid of computer & other systems, i.e., CPS. Computer Biochemical Mechanical Laser Tracheotomy MDPnP
14 MDPnP is not just a computer system, it is a hybrid of computer & other systems, i.e., CPS. Computer Biochemical Mechanical Communication Laser Tracheotomy MDPnP
15 A state-of-the-art CPS model checking is Hybrid Systems Model Checking: Comp + Fdbk Ctrl. Bouncing Ball Example
16 The state-of-the-art CPS model checking is Hybrid Systems Model Checking: Comp + Fdbk Ctrl. Thermostat Example
17 The state-of-the-art CPS model checking is Hybrid Systems Model Checking: Comp + Fdbk Ctrl. Thermostat Example
18 Content Demand Background Challenge Solution Evaluation Related Work
19 However, existing hybrid systems model checking (computer + fdbk ctrl) doesn t very well fit MDPnP.
20 However, existing hybrid systems model checking (computer + fdbk ctrl) doesn t very well fit MDPnP. Existing model checking: Offline (partly due to lack of time cost bound), Time-Unbounded Behavior (Long-Run Future)
21 However, existing hybrid systems model checking (computer + fdbk ctrl) doesn t very well fit MDPnP. Existing model checking: Offline (partly due to lack of time cost bound), Time-Unbounded Behavior (Long-Run Future) Challenge 1: No good offline models for complex biomedical systems of human body.
22 However, existing hybrid systems model checking (computer + fdbk ctrl) doesn t very well fit MDPnP. Existing model checking: Offline (partly due to lack of time cost bound), Time-Unbounded Behavior (Long-Run Future) Challenge 1: No good offline models for complex biomedical systems of human body. Challenge 2: Verification state space easily explode.
23 Take laser tracheotomy offline hybrid systems modeling as an example.
24 Take laser tracheotomy offline hybrid systems modeling as an example.
25 Take laser tracheotomy offline hybrid systems modeling as an example.
26 Take laser tracheotomy offline hybrid systems modeling as an example.
27 Take laser tracheotomy offline hybrid systems modeling as an example: model SpO 2 offline?
28 Content Demand Background Challenge Solution Evaluation Related Work
29 Online periodical real-time hybrid systems model checking of time-bounded (i.e., short-run) future!
30 Online periodical real-time hybrid systems model checking of time-bounded (i.e., short-run) future! Traditional model checking vs. Ours: Offline Online Periodical Real-Time Long-Run Future Short-Run Future
31 Online periodical real-time hybrid systems model checking of time-bounded (i.e., short-run) future! Traditional model checking vs. Ours: Offline Online Periodical Real-Time Long-Run Future Short-Run Future Challenge 1: No good offline models for complex biomedical systems of human body.
32 Online periodical real-time hybrid systems model checking of time-bounded (i.e., short-run) future! Traditional model checking vs. Ours: Offline Online Periodical Real-Time Long-Run Future Short-Run Future Challenge 1: No good offline models for complex biomedical systems of human body. Most vital signs online short-run behavior is easy to predict.
33 Online periodical real-time hybrid systems model checking of time-bounded (i.e., short-run) future! Traditional model checking vs. Ours: Offline Online Periodical Real-Time Long-Run Future Short-Run Future Challenge 1: No good offline models for complex biomedical systems of human body. Most vital signs online short-run behavior is easy to predict. Challenge 2: Verification state space easily explode.
34 Online periodical real-time hybrid systems model checking of time-bounded (i.e., short-run) future! Traditional model checking vs. Ours: Offline Online Periodical Real-Time Long-Run Future Short-Run Future Challenge 1: No good offline models for complex biomedical systems of human body. Most vital signs online short-run behavior is easy to predict. Challenge 2: Verification state space easily explode. Online Fixes Many Parameters Short-Run Shrink State Space
35 Let s model the patient again, now online and short-run, with period T.
36 Let s model the patient again, now online and short-run, with period T.
37 The online short-run model for ventilator.
38 The online short-run model for ventilator.
39 The online short-run model for laser-scalpel.
40 The online short-run model for laser-scalpel.
41 The online short-run model for supervisor.
42 The online short-run model for supervisor.
43 Question: Can the hybrid systems model checking finish (terminate) within period T?
44 Question: Can the hybrid systems model checking finish (terminate) within period T? Hybrid Systems Model Checking undecidable
45 Question: Can the hybrid systems model checking finish (terminate) within period T? Hybrid Systems Model Checking undecidable Linear Hybrid Automaton (LHA) model checking undecidable
46 Question: Can the hybrid systems model checking finish (terminate) within period T? Hybrid Systems Model Checking undecidable Linear Hybrid Automaton (LHA) model checking undecidable Simple Time-Bounded (STB) LHA model checking
47 Question: Can the hybrid systems model checking finish (terminate) within period T? Hybrid Systems Model Checking undecidable Linear Hybrid Automaton (LHA) model checking undecidable Simple Time-Bounded (STB) LHA model checking We proved a well-known reachability calculation procedure terminates within polynomial time.
48 Question: Can the hybrid systems model checking finish (terminate) within period T? Hybrid Systems Model Checking undecidable Linear Hybrid Automaton (LHA) model checking undecidable Simple Time-Bounded (STB) LHA model checking We proved a well-known reachability calculation procedure terminates within polynomial time. STB LHA is powerful enough to describe laser tracheotomy scenario, a representative MDPnP application.
49 Content Demand Background Challenge Solution Evaluation Related Work
50 Evaluation Setup
51 Evaluation Setup Emulated Oxymeter and O2 sensor using NIH PhysioNet real-world patient vital sign traces.
52 Evaluation Setup Emulated Oxymeter and O2 sensor using NIH PhysioNet real-world patient vital sign traces. Sampling/Model-Checking Period: T = 3 second.
53 Evaluation Setup Emulated Oxymeter and O2 sensor using NIH PhysioNet real-world patient vital sign traces. Sampling/Model-Checking Period: T = 3 second. Hand written online model generator + PHAVer hybrid systems model checker
54 Evaluation Setup Emulated Oxymeter and O2 sensor using NIH PhysioNet real-world patient vital sign traces. Sampling/Model-Checking Period: T = 3 second. Hand written online model generator + PHAVer hybrid systems model checker Lenovo Thinkpad X201 + Intel Core i G Mem + 32-bit Ubuntu 10.10
55 Statistics of execution (modeling + checking) time cost: real-time feasible (with pipelining).
56 Statistics of online SpO 2 prediction accuracy
57 Content Demand Background Challenge Solution Evaluation Related Work
58 Related Work Runtime Verification [finkbeiner02] Online discrete systems model checking [qi09][easwaran06] Other hybrid systems model checkers [robby03][bartocci08]
59 Thank You!
60 References [bartocci08] E. Bartocci, F. Corradini, E. Entcheva, R. Grosu, and S. A. Smolka, Cellexcite: An efficient simulation environment for excitable cells. BMC Bioinformatics, 9(2):1-13, Mar [easwaran06] Arvind Easwaran, Sampath Kannan, Oleg Sokolsky: Steering of Discrete Event Systems: Control Theory Approach. Workshop on Runtime Verification [finkbeiner02] B. Finkbeiner, S. Sankaranarayanan, and H. Sipma, Collecting statistics over runtime executions. ENTCS, 70:4, 2002 [qi09] Z. Qi, A. Liang, H. Guan, M. Wu, and Z. Zhang, A hybrid model checking and runtime monitoring method for c++ web services. Proc. of the Fifth International Joint Conference on INC, IMS and IDC, [robby03] Robby, M. B. Dwyer, and J. Hatcliff. Bogor: An extensible and highlymodular software model checking framework. Proc. of the 9th European Software Engineering Conference (ESEC/FSE-11), 2003.
61 Backup
62 A key tool for traditional (computer systems) verification is model checking.
63 A key tool for traditional (computer systems) verification is model checking.
64 A key tool for traditional (computer systems) verification is model checking.
65 A key tool for traditional (computer systems) verification is model checking.
66 MDPnP is not just computer systems, it is a hybrid of computer & other systems, i.e., CPS. Computer Mechanics Aerodynamics Communications Feedback Control Material
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