Polynomial Anonymous Dynamic Distributed Computing Without a Unique Leader

Authors Dariusz R. Kowalski, Miguel A. Mosteiro



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Author Details

Dariusz R. Kowalski
  • Department of Computer Science, University of Liverpool, UK
  • SWPS University of Social Sciences and Humanities, Warsaw, Poland
Miguel A. Mosteiro
  • Computer Science Department, Pace University, New York, NY, USA

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Dariusz R. Kowalski and Miguel A. Mosteiro. Polynomial Anonymous Dynamic Distributed Computing Without a Unique Leader. In 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 132, pp. 147:1-147:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019) https://doi.org/10.4230/LIPIcs.ICALP.2019.147

Abstract

Counting the number of nodes in {Anonymous Dynamic Networks} is enticing from an algorithmic perspective: an important computation in a restricted platform with promising applications. Starting with Michail, Chatzigiannakis, and Spirakis [Michail et al., 2013], a flurry of papers sped up the running time guarantees from doubly-exponential to polynomial [Dariusz R. Kowalski and Miguel A. Mosteiro, 2018]. There is a common theme across all those works: a distinguished node is assumed to be present, because Counting cannot be solved deterministically without at least one. 
In the present work we study challenging questions that naturally follow: how to efficiently count with more than one distinguished node, or how to count without any distinguished node. More importantly, what is the minimal information needed about these distinguished nodes and what is the best we can aim for (count precision, stochastic guarantees, etc.) without any. We present negative and positive results to answer these questions. To the best of our knowledge, this is the first work that addresses them.

Subject Classification

ACM Subject Classification
  • Theory of computation → Distributed algorithms
Keywords
  • Anonymous Dynamic Networks
  • Counting
  • distributed algorithms

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