FTSyn: a framework for automatic synthesis of fault-tolerance

In this paper, we present a software framework for adding fault-tolerance to existing finite-state programs. The input to our framework is a fault-intolerant program and a class of faults that perturbs the program. The output of our framework is a fault-tolerant version of the input program. Our fra...

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Vydáno v:International journal on software tools for technology transfer Ročník 10; číslo 5; s. 455 - 471
Hlavní autoři: Ebnenasir, Ali, Kulkarni, Sandeep S., Arora, Anish
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer-Verlag 01.10.2008
Springer
Springer Nature B.V
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ISSN:1433-2779, 1433-2787
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Shrnutí:In this paper, we present a software framework for adding fault-tolerance to existing finite-state programs. The input to our framework is a fault-intolerant program and a class of faults that perturbs the program. The output of our framework is a fault-tolerant version of the input program. Our framework provides (1) the first automated tool for the synthesis of fault-tolerant distributed programs, and (2) an extensible platform for researchers to develop a repository of heuristics that deal with the complexity of adding fault-tolerance to distributed programs. We also present a set of heuristics for polynomial-time addition of fault-tolerance to distributed programs. We have used this framework for automated synthesis of several fault-tolerant programs including a simplified version of an aircraft altitude switch, token ring, Byzantine agreement, and agreement in the presence of Byzantine and fail-stop faults. These examples illustrate that our framework can be used for synthesizing programs that tolerate different types of faults (process restarts, Byzantine and fail-stop) and programs that are subject to multiple faults (Byzantine and fail-stop) simultaneously. We have found our framework to be highly useful for pedagogical purposes, especially for teaching concepts of fault-tolerance, automatic program transformation, and the effect of heuristics.
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ISSN:1433-2779
1433-2787
DOI:10.1007/s10009-008-0083-0