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Average Long-Lived Memoryless Consensus: The Three-Value Case

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Structural Information and Communication Complexity (SIROCCO 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6058))

Abstract

We study strategies that minimize the instability of a fault-tolerant consensus system. More precisely, we find the strategy than minimizes the number of output changes over a random walk sequence of input vectors (where each component of the vector corresponds to a particular sensor reading). We analyze the case where each sensor can read three possible inputs. The proof of this result appears to be much more complex than the proof of the binary case (previous work). In the binary case the problem can be reduced to a minimal cut in a graph. We succeed in three dimensions by using the fact that an auxiliary graph (projected graph) is planar. For four and higher dimensions this auxiliary graph is not planar anymore and the problem remains open.

Partially supported by Programs Fondecyt 1090156, Basal-CMM, Instituto Milenio ICDB, Ecos C09E04 and IXXI (Complex System Institute, Lyon).

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Rapaport, I., Rémila, E. (2010). Average Long-Lived Memoryless Consensus: The Three-Value Case. In: Patt-Shamir, B., Ekim, T. (eds) Structural Information and Communication Complexity. SIROCCO 2010. Lecture Notes in Computer Science, vol 6058. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13284-1_10

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  • DOI: https://doi.org/10.1007/978-3-642-13284-1_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13283-4

  • Online ISBN: 978-3-642-13284-1

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