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Constant Space and Non-Constant Time in Distributed Computing

Authors Tuomo Lempiäinen, Jukka Suomela

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Keywords
  • distributed computing
  • space complexity
  • constant-space algorithms
  • weak models
  • Thue-Morse sequence

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Abstract

While the relationship of time and space is an established topic in traditional centralised com- plexity theory, this is not the case in distributed computing. We aim to remedy this by studying the time and space complexity of algorithms in a weak message-passing model of distributed com- puting. While a constant number of communication rounds implies a constant number of states visited during the execution, the other direction is not clear at all. We show that indeed, there exist non-trivial graph problems that are solvable by constant-space algorithms but that require a non-constant running time. Somewhat surprisingly, this holds even when restricted to the class of only cycle and path graphs. Our work provides us with a new complexity class for distributed computing and raises interesting questions about the existence of further combinations of time and space complexity.

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Tuomo Lempiäinen and Jukka Suomela. Constant Space and Non-Constant Time in Distributed Computing. In 21st International Conference on Principles of Distributed Systems (OPODIS 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 95, pp. 30:1-30:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018) https://doi.org/10.4230/LIPIcs.OPODIS.2017.30

Author Details

Tuomo Lempiäinen
Jukka Suomela

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