The Synergy of Finite State Machines

Authors Yehuda Afek, Yuval Emek, Noa Kolikant



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Author Details

Yehuda Afek
  • Tel Aviv University, Tel Aviv, Israel
Yuval Emek
  • Technion - Israel Institute of Technology, Haifa, Israel
Noa Kolikant
  • Tel Aviv University, Tel Aviv, Israel

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Yehuda Afek, Yuval Emek, and Noa Kolikant. The Synergy of Finite State Machines. In 22nd International Conference on Principles of Distributed Systems (OPODIS 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 125, pp. 22:1-22:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019) https://doi.org/10.4230/LIPIcs.OPODIS.2018.22

Abstract

What can be computed by a network of n randomized finite state machines communicating under the stone age model (Emek & Wattenhofer, PODC 2013)? The inherent linear upper bound on the total space of the network implies that its global computational power is not larger than that of a randomized linear space Turing machine, but is this tight? We answer this question affirmatively for bounded degree networks by introducing a stone age algorithm (operating under the most restrictive form of the model) that given a designated I/O node, constructs a tour in the network that enables the simulation of the Turing machine's tape. To construct the tour with high probability, we first show how to 2-hop color the network concurrently with building a spanning tree.

Subject Classification

ACM Subject Classification
  • Theory of computation → Distributed algorithms
Keywords
  • finite state machines
  • stone-age model
  • beeping communication scheme
  • distributed network computability

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