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On the Complexity of the “Most General” Undirected Firing Squad Synchronization Problem

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4835))

Abstract

We show that if a minimal-time solution exists for a fundamental distributed computation primitive, synchronizing arbitrary undirected networks of finite-state processors, then there must exist an “extraordinarily fast” \(\tilde{O}(D^5E)\) algorithm in the RAM model of computation for exactly determining the diameter D of an arbitrary unweighted undirected graph with E edges. The proof is constructive.

At present we know eight variations of the firing squad synchronization problems whose solutions are known but whose minimal-time solutions are not known. Our result essentially completes the program outlined in [3] to show that it is highly unlikely for there to exist minimal-time solutions for these variations.

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References

  1. Goldstein, D., Kobayashi, K.: On the complexity of network synchronization. SIAM J. Comput. 35(3), 567–589 (2005)

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  2. Goldstein, D., Kobayashi, K.: On the complexity of the ”most general” firing squad synchronization problem. In: Durand, B., Thomas, W. (eds.) STACS 2006. LNCS, vol. 3884, pp. 696–711. Springer, Heidelberg (2006)

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  3. Kobayashi, K.: On time optimal solutions of the firing squad synchronization problem for two-dimensional paths. Theoretical Computer Science 259, 129–143 (2001)

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  4. Mazoyer, J.: An overview of the firing synchronization problem. In: Choffrut, C. (ed.) Automata Networks. LNCS, vol. 316, pp. 12–16. Springer, Heidelberg (1988)

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Takeshi Tokuyama

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© 2007 Springer-Verlag Berlin Heidelberg

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Goldstein, D., Kobayashi, K. (2007). On the Complexity of the “Most General” Undirected Firing Squad Synchronization Problem. In: Tokuyama, T. (eds) Algorithms and Computation. ISAAC 2007. Lecture Notes in Computer Science, vol 4835. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77120-3_23

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  • DOI: https://doi.org/10.1007/978-3-540-77120-3_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77118-0

  • Online ISBN: 978-3-540-77120-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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