On the power of threshold-based algorithms for detecting cycles in the CONGEST model (2024)

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Authors: Pierre Fraigniaud, Maël Luce, and Ioan Todinca

Published: 09 July 2024 Publication History

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    Abstract

    It is known that, for every k ≥ 2, C 2 k-freeness can be decided by a generic Monte-Carlo algorithm running in n 1 − 1 / Θ ( k 2 ) rounds in the congest model. For 2 ≤ k ≤ 5, faster Monte-Carlo algorithms do exist, running in O ( n 1 − 1 / k ) rounds, based on upper bounding the number of messages to be forwarded, and aborting search sub-routines for which this number exceeds certain thresholds. We investigate the possible extension of these threshold-based algorithms, for the detection of larger cycles. We first show that, for every k ≥ 6, there exists an infinite family of graphs containing a 2k-cycle for which any threshold-based algorithm fails to detect that cycle. Hence, in particular, neither C 12-freeness nor C 14-freeness can be decided by threshold-based algorithms. Nevertheless, we show that { C 12, C 14 }-freeness can still be decided by a threshold-based algorithm, running in O ( n 1 − 1 / 7 ) = O ( n 0.857 … ) rounds, which is faster than using the generic algorithm, which would run in O ( n 1 − 1 / 22 ) ≃ O ( n 0.954 … ) rounds. Moreover, we exhibit an infinite collection of families of cycles such that threshold-based algorithms can decide F-freeness for every F in this collection.

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    Published In

    On the power of threshold-based algorithms for detecting cycles in the CONGEST model (1)

    Theoretical Computer Science Volume 996, Issue C

    May 2024

    103 pages

    ISSN:0304-3975

    Issue’s Table of Contents

    Copyright © 2024.

    Publisher

    Elsevier Science Publishers Ltd.

    United Kingdom

    Publication History

    Published: 09 July 2024

    Author Tags

    1. Cycle-freeness
    2. Distributed computing
    3. Congest model

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