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Formalisation of an Industrial Approach to Monitoring Critical Data

Yuliya Prokhorova, Elena Troubitsyna, Linas Laibinis, Dubravka Ilic, Timo Latvala, Formalisation of an Industrial Approach to Monitoring Critical Data. TUCS Technical Reports 1070, TUCS, 2013.

Abstract:

A large class of safety-critical control systems contains monitoring subsystems that display certain system parameters to (human) operators. Ensuring that the displayed data are sufficiently fresh and non-corrupted constitutes an important part of safety requirements. However, the monitoring subsystems are typically not a part of a safety kernel and hence often built of SIL1 and SIL2 components. In this paper, we formalise a recently implemented industrial approach to architecting dependable monitoring systems that ensures data freshness and integrity despite unreliability of their components. Moreover, we derive an architectural pattern that allows us to formally reason about data freshness and integrity. The proposed approach is illustrated by an industrial case study.

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BibTeX entry:

@TECHREPORT{tPrTrLaIlLa13a,
  title = {Formalisation of an Industrial Approach to Monitoring Critical Data},
  author = {Prokhorova, Yuliya and Troubitsyna, Elena and Laibinis, Linas and Ilic, Dubravka and Latvala, Timo},
  number = {1070},
  series = {TUCS Technical Reports},
  publisher = {TUCS},
  year = {2013},
  keywords = {Fault-tolerance, formal modelling, Event-B, data freshness, data integrity.},
  ISBN = {978-952-12-2864-3},
}

Belongs to TUCS Research Unit(s): Distributed Systems Laboratory (DS Lab)

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