In this paper we introduce a notion of fault-tolerance distance between labeled transition systems. Intuitively, this notion of distance measures the degree of fault-tolerance exhibited by a candidate system. In practice, there are different kinds of fault-tolerance, here we restrict ourselves to the analysis of masking fault-tolerance because it is often a highly desirable goal for critical systems. Roughly speaking, a system is masking fault-tolerant when it is able to completely mask the faults, not allowing these faults to have any observable consequences for the users. We capture masking fault-tolerance via a simulation relation, which is accompanied by a corresponding game characterization. We enrich the resulting games with quantitative objectives to define the notion of masking fault-tolerance distance. Furthermore, we investigate the basic properties of this notion of masking distance, and we prove that it is a directed semimetric. We have implemented our approach in a prototype tool that automatically compute the masking distance between a nominal system and a fault-tolerant version of it. We have used this tool to measure the masking tolerance of multiple instances of several case studies.
Thu 11 AprDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
14:00 - 16:00 | |||
14:00 30mTalk | Digital Bifurcation Analysis of TCP Dynamics TACAS Link to publication | ||
14:30 30mTalk | Verifying Safety of Synchronous Fault-Tolerant Algorithms by Bounded Model Checking TACAS Ilina Stoilkovska Vienna University of Technology , Igor Konnov Inria Nancy, Josef Widder TU Wien, Florian Zuleger Vienna University of Technology Link to publication | ||
15:00 30mTalk | Measuring Masking Fault-Tolerance TACAS Pablo Castro Dept. of Computer Science FCEFQyN, University of Rio Cuarto, Pedro D'Argenio , Ramiro Demasi , Luciano Putruele Link to publication | ||
15:30 30mTalk | PhASAR: An Inter-Procedural Static Analysis Framework for C/C++ TACAS Philipp Dominik Schubert Heinz Nixdorf Institut, Paderborn University, Ben Hermann University of Paderborn, Eric Bodden Heinz Nixdorf Institut, Paderborn University and Fraunhofer IEM Link to publication |