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The Cost of Unknown Diameter in Dynamic Networks

Published: 29 August 2018 Publication History

Abstract

For dynamic networks with unknown diameter, we prove novel lower bounds on the time complexity of a range of basic distributed computing problems. Together with trivial upper bounds under dynamic networks with known diameter for these problems, our lower bounds show that the complexities of all these problems are sensitive to whether the diameter is known to the protocol beforehand: Not knowing the diameter increases the time complexities by a large poly(N) factor as compared to when the diameter is known, resulting in an exponential gap. Our lower bounds are obtained via communication complexity arguments and by reducing from the two-party DisjointnessCP problem. We further prove that sometimes this large poly(N) cost can be completely avoided if the protocol is given a good estimate on N. In other words, having such an estimate makes some problems no longer sensitive to unknown diameter.

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Cited By

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  • (2024)Sublinear Algorithms in T-Interval Dynamic NetworksAlgorithmica10.1007/s00453-024-01250-386:9(2959-2996)Online publication date: 1-Sep-2024
  • (2022)Achieving Sublinear Complexity under Constant T in T-interval Dynamic NetworksProceedings of the 34th ACM Symposium on Parallelism in Algorithms and Architectures10.1145/3490148.3538571(131-141)Online publication date: 11-Jul-2022
  • (2022)On the power of randomization in distributed algorithms in dynamic networks with adaptive adversariesJournal of Parallel and Distributed Computing10.1016/j.jpdc.2021.09.004159(35-50)Online publication date: Jan-2022
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    Published In

    cover image Journal of the ACM
    Journal of the ACM  Volume 65, Issue 5
    October 2018
    299 pages
    ISSN:0004-5411
    EISSN:1557-735X
    DOI:10.1145/3274534
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 29 August 2018
    Accepted: 01 April 2018
    Revised: 01 October 2017
    Received: 01 August 2016
    Published in JACM Volume 65, Issue 5

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    Author Tags

    1. Unknown network diameter
    2. communication complexity
    3. dynamic networks
    4. lower bounds

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    Funding Sources

    • Singapore Ministry of Education Academic Research Fund Tier-2

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    Cited By

    View all
    • (2024)Sublinear Algorithms in T-Interval Dynamic NetworksAlgorithmica10.1007/s00453-024-01250-386:9(2959-2996)Online publication date: 1-Sep-2024
    • (2022)Achieving Sublinear Complexity under Constant T in T-interval Dynamic NetworksProceedings of the 34th ACM Symposium on Parallelism in Algorithms and Architectures10.1145/3490148.3538571(131-141)Online publication date: 11-Jul-2022
    • (2022)On the power of randomization in distributed algorithms in dynamic networks with adaptive adversariesJournal of Parallel and Distributed Computing10.1016/j.jpdc.2021.09.004159(35-50)Online publication date: Jan-2022
    • (2020)Sublinear Algorithms in T-interval Dynamic NetworksProceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures10.1145/3350755.3400228(317-327)Online publication date: 6-Jul-2020
    • (2020)On the Power of Randomization in Distributed Algorithms in Dynamic Networks with Adaptive AdversariesEuro-Par 2020: Parallel Processing10.1007/978-3-030-57675-2_24(376-391)Online publication date: 24-Aug-2020

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