research-article

Efficient Decentralized LTL Monitoring Framework Using Tableau Technique

Authors:

David S. Rosenblum,

Mark ReynoldsAuthors Info & Claims

ACM Transactions on Embedded Computing Systems (TECS), Volume 18, Issue 5s

Article No.: 87, Pages 1 - 21

https://doi.org/10.1145/3358219

Published: 11 October 2019 Publication History

Abstract

This paper presents a novel framework for decentralized monitoring of Linear Temporal Logic (LTL) formulas, under the situation where processes are synchronous and the formula is represented as a tableau. The tableau technique allows one to construct a semantic tree for the input LTL formula, which can be used to optimize the decentralized monitoring of LTL in various ways. Given a system P and an LTL formula φ, we construct a tableau T_φ. The tableau T_φ is used for two purposes: (a) to synthesize an efficient round-robin communication policy for processes, and (b) to find the minimal ways to decompose the formula and communicate observations of processes in an efficient way. In our framework, processes can propagate truth values of both atomic and compound formulas (non-atomic formulas) depending on the syntactic structure of the input LTL formula and the observation power of processes. We demonstrate that this approach of decentralized monitoring based on tableau construction is more straightforward, more flexible, and more likely to yield efficient solutions than alternative approaches.

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Cited By

Koll CMomtaz ABonakdarpour BAbbas H(2023)Decentralized Predicate Detection Over Partially Synchronous Continuous-Time SignalsRuntime Verification10.1007/978-3-031-44267-4_11(213-230)Online publication date: 3-Oct-2023
https://dl.acm.org/doi/10.1007/978-3-031-44267-4_11
Tian DFang HYang QWei Y(2022)Decentralized Motion Planning for Multiagent Collaboration Under Coupled LTL Task SpecificationsIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2021.307310552:6(3602-3611)Online publication date: Jun-2022
https://doi.org/10.1109/TSMC.2021.3073105
Hariharan GKempa BWongpiromsarn TJones PRozier K(2022)MLTL Multi-type (MLTLM): A Logic for Reasoning About Signals of Different TypesSoftware Verification and Formal Methods for ML-Enabled Autonomous Systems10.1007/978-3-031-21222-2_11(187-204)Online publication date: 11-Aug-2022
https://dl.acm.org/doi/10.1007/978-3-031-21222-2_11

Index Terms

Efficient Decentralized LTL Monitoring Framework Using Tableau Technique
1. Software and its engineering
  1. Software notations and tools
  2. Software organization and properties

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Published In

cover image ACM Transactions on Embedded Computing Systems

ACM Transactions on Embedded Computing Systems Volume 18, Issue 5s

Special Issue ESWEEK 2019, CASES 2019, CODES+ISSS 2019 and EMSOFT 2019

October 2019

1423 pages

ISSN:1539-9087

EISSN:1558-3465

DOI:10.1145/3365919

Editor:
Sandeep K. Shukla
Indian Institute of Technology, India

Issue’s Table of Contents

Copyright © 2019 ACM.

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ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 11 October 2019

Accepted: 01 July 2019

Revised: 01 June 2019

Received: 01 April 2019

Published in TECS Volume 18, Issue 5s

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Cited By

Koll CMomtaz ABonakdarpour BAbbas H(2023)Decentralized Predicate Detection Over Partially Synchronous Continuous-Time SignalsRuntime Verification10.1007/978-3-031-44267-4_11(213-230)Online publication date: 3-Oct-2023
https://dl.acm.org/doi/10.1007/978-3-031-44267-4_11
Tian DFang HYang QWei Y(2022)Decentralized Motion Planning for Multiagent Collaboration Under Coupled LTL Task SpecificationsIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2021.307310552:6(3602-3611)Online publication date: Jun-2022
https://doi.org/10.1109/TSMC.2021.3073105
Hariharan GKempa BWongpiromsarn TJones PRozier K(2022)MLTL Multi-type (MLTLM): A Logic for Reasoning About Signals of Different TypesSoftware Verification and Formal Methods for ML-Enabled Autonomous Systems10.1007/978-3-031-21222-2_11(187-204)Online publication date: 11-Aug-2022
https://dl.acm.org/doi/10.1007/978-3-031-21222-2_11

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