Offline and online energy-efficient monitoring of scattered uncertain logs using a bounding model

Monitoring the correctness of distributed cyber-physical systems is essential. Detecting possible safety violations can be hard when some samples are uncertain or missing. We monitor here black-box cyber-physical system, with logs being uncertain both in the state and timestamp dimensions: that is,...

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Main Authors: Bineet Ghosh, Étienne André
Format: Article
Language:English
Published: Logical Methods in Computer Science e.V. 2024-01-01
Series:Logical Methods in Computer Science
Subjects:
Online Access:https://lmcs.episciences.org/10434/pdf
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author Bineet Ghosh
Étienne André
author_facet Bineet Ghosh
Étienne André
author_sort Bineet Ghosh
collection DOAJ
description Monitoring the correctness of distributed cyber-physical systems is essential. Detecting possible safety violations can be hard when some samples are uncertain or missing. We monitor here black-box cyber-physical system, with logs being uncertain both in the state and timestamp dimensions: that is, not only the logged value is known with some uncertainty, but the time at which the log was made is uncertain too. In addition, we make use of an over-approximated yet expressive model, given by a non-linear extension of dynamical systems. Given an offline log, our approach is able to monitor the log against safety specifications with a limited number of false alarms. As a second contribution, we show that our approach can be used online to minimize the number of sample triggers, with the aim at energetic efficiency. We apply our approach to three benchmarks, an anesthesia model, an adaptive cruise controller and an aircraft orbiting system.
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spelling doaj.art-5da87b4d80e14cd2b9a1f6a82c259fdd2024-03-08T10:45:17ZengLogical Methods in Computer Science e.V.Logical Methods in Computer Science1860-59742024-01-01Volume 20, Issue 110.46298/lmcs-20(1:2)202410434Offline and online energy-efficient monitoring of scattered uncertain logs using a bounding modelBineet GhoshÉtienne AndréMonitoring the correctness of distributed cyber-physical systems is essential. Detecting possible safety violations can be hard when some samples are uncertain or missing. We monitor here black-box cyber-physical system, with logs being uncertain both in the state and timestamp dimensions: that is, not only the logged value is known with some uncertainty, but the time at which the log was made is uncertain too. In addition, we make use of an over-approximated yet expressive model, given by a non-linear extension of dynamical systems. Given an offline log, our approach is able to monitor the log against safety specifications with a limited number of false alarms. As a second contribution, we show that our approach can be used online to minimize the number of sample triggers, with the aim at energetic efficiency. We apply our approach to three benchmarks, an anesthesia model, an adaptive cruise controller and an aircraft orbiting system.https://lmcs.episciences.org/10434/pdfelectrical engineering and systems science - systems and controlcomputer science - software engineering
spellingShingle Bineet Ghosh
Étienne André
Offline and online energy-efficient monitoring of scattered uncertain logs using a bounding model
Logical Methods in Computer Science
electrical engineering and systems science - systems and control
computer science - software engineering
title Offline and online energy-efficient monitoring of scattered uncertain logs using a bounding model
title_full Offline and online energy-efficient monitoring of scattered uncertain logs using a bounding model
title_fullStr Offline and online energy-efficient monitoring of scattered uncertain logs using a bounding model
title_full_unstemmed Offline and online energy-efficient monitoring of scattered uncertain logs using a bounding model
title_short Offline and online energy-efficient monitoring of scattered uncertain logs using a bounding model
title_sort offline and online energy efficient monitoring of scattered uncertain logs using a bounding model
topic electrical engineering and systems science - systems and control
computer science - software engineering
url https://lmcs.episciences.org/10434/pdf
work_keys_str_mv AT bineetghosh offlineandonlineenergyefficientmonitoringofscattereduncertainlogsusingaboundingmodel
AT etienneandre offlineandonlineenergyefficientmonitoringofscattereduncertainlogsusingaboundingmodel