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Fault-tolerant functional reactive programming (extended version)

Part of: ICFP2018

Published online by Cambridge University Press:  07 May 2020

IVAN PEREZ Open the ORCID record for IVAN PEREZ [Opens in a new window]  and
ALWYN E. GOODLOE
IVAN PEREZ
Affiliation:
National Institute of Aerospace, Hampton, VA, 23666, USA, (e-mail: ivan.perez@nianet.org)
ALWYN E. GOODLOE
Affiliation:
NASA Langley Research Center, Hampton, VA, 23681, USA, (e-mail: a.goodloe@nasa.gov)
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Abstract

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Highly critical application domains, like medicine and aerospace, require the use of strict design, implementation, and validation techniques. Functional languages have been used in these domains to develop synchronous dataflow programming languages for reactive systems. Causal stream functions and functional reactive programming (FRP) capture the essence of those languages in a way that is both elegant and robust. To guarantee that critical systems can operate under high stress over long periods of time, these applications require clear specifications of possible faults and hazards, and how they are being handled. Modeling failure is straightforward in functional languages, and many functional reactive abstractions incorporate support for failure or termination. However, handling unknown types of faults, and incorporating fault tolerance into FRP, requires a different construction and remains an open problem. This work demonstrates how to extend an existing functional reactive framework with fault tolerance features. At value level, we tag faulty signals with reliability and probability information and use random testing to inject faults and validate system properties encoded in temporal logic. At type level, we tag components with the kinds of faults they may exhibit and use type-level programming to obtain compile-time guarantees of key aspects of fault tolerance. Our approach is powerful enough to be used in systems with realistic complexity, and flexible enough to be used to guide system analysis and design, validate system properties in the presence of faults, perform runtime monitoring, and study the effects of different fault tolerance mechanisms.

Type
Research Article
Information
Journal of Functional Programming , Volume 30 , 2020 , e12
Creative Commons
Creative Common License - CCCreative Common License - BY
This is a work of the US Government and is not subject to copyright protection within the United States. Published by Cambridge University Press.
Copyright
© NASA 2020. Published by Cambridge University Press

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