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Qualitative and Quantitative Monitoring of Spatio-Temporal Properties with SSTL

Nenzi Laura
•
Bortolussi Luca
•
Ciancia Vincenzo
altro
Massink Mieke
2018
  • journal article

Periodico
LOGICAL METHODS IN COMPUTER SCIENCE
Abstract
In spatially located, large scale systems, time and space dynamics interact and drives the behaviour. Examples of such systems can be found in many smart city applications and Cyber-Physical Systems. In this paper we present the Signal Spatio-Temporal Logic (SSTL), a modal logic that can be used to specify spatio-temporal properties of linear time and discrete space models. The logic is equipped with a Boolean and a quantitative semantics for which efficient monitoring algorithms have been developed. As such, it is suitable for real-time verification of both white box and black box complex systems. These algorithms can also be combined with stochastic model checking routines. SSTL combines the until temporal modality with two spatial modalities, one expressing that something is true somewhere nearby and the other capturing the notion of being surrounded by a region that satisfies a given spatio-temporal property. The monitoring algorithms are implemented in an open source Java tool. We illustrate the use of SSTL analysing the formation of patterns in a Turing Reaction-Diffusion system and spatio-temporal aspects of a large bike-sharing system.
DOI
10.23638/LMCS-14(4:2)2018
WOS
WOS:000452745300013
Archivio
http://hdl.handle.net/11368/2931403
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85060191506
https://lmcs.episciences.org/4913/pdf
Diritti
open access
license:creative commons
license uri:http://creativecommons.org/licenses/by/4.0/
FVG url
https://arts.units.it/bitstream/11368/2931403/1/1706.09334.pdf
Soggetti
  • Spatio-Temporal Logic...

  • Monitoring

  • Turing Reaction-Diffu...

  • bike-sharing system

Scopus© citazioni
17
Data di acquisizione
Jun 7, 2022
Vedi dettagli
Web of Science© citazioni
25
Data di acquisizione
Mar 4, 2024
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