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Randomized Local Network Computing

Authors:

Laurent Feuilloley,

Pierre FraigniaudAuthors Info & Claims

SPAA '15: Proceedings of the 27th ACM symposium on Parallelism in Algorithms and Architectures

Pages 340 - 349

https://doi.org/10.1145/2755573.2755596

Published: 13 June 2015 Publication History

Abstract

In this paper, we carry on investigating the line of research questioning the power of randomization for the design of distributed algorithms. In their seminal paper, Naor and Stockmeyer [STOC 1993] established that, in the context of network computing, in which all nodes execute the same algorithm in parallel, any construction task that can be solved locally by a randomized Monte-Carlo algorithm can also be solved locally by a deterministic algorithm. This result however holds in a specific context. In particular, it holds only for distributed tasks whose solutions can be locally checked by a deterministic algorithm. In this paper, we extend the result of Naor and Stockmeyer to a wider class of tasks. Specifically, we prove that the same derandomization result holds for every task whose solutions can be locally checked using a 2-sided error randomized Monte-Carlo algorithm. This extension finds applications to, e.g., the design of lower bounds for construction tasks which tolerate that some nodes compute incorrect values. In a nutshell, we show that randomization does not help for solving such resilient tasks.

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Cited By

Feuilloley LFraigniaud P(2021)Randomized Local Network Computing: Derandomization Beyond Locally Checkable LabelingsACM Transactions on Parallel Computing10.1145/34706408:4(1-25)Online publication date: 15-Oct-2021
https://dl.acm.org/doi/10.1145/3470640
Jahja IYu HHou R(2021)On the Power of Randomization in Distributed Algorithms in Dynamic Networks with Adaptive AdversariesJournal of Parallel and Distributed Computing10.1016/j.jpdc.2021.09.004Online publication date: Oct-2021
https://doi.org/10.1016/j.jpdc.2021.09.004
Censor-Hillel KParter MSchwartzman G(2020)Derandomizing local distributed algorithms under bandwidth restrictionsDistributed Computing10.1007/s00446-020-00376-1Online publication date: 18-Apr-2020
https://doi.org/10.1007/s00446-020-00376-1
Show More Cited By

Index Terms

Randomized Local Network Computing
1. Theory of computation
  1. Design and analysis of algorithms

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Randomized Local Network Computing: Derandomization Beyond Locally Checkable Labelings
We carry on investigating the line of research questioning the power of randomization for the design of distributed algorithms. In their seminal paper, Naor and Stockmeyer [STOC 1993] established that, in the context of network computing in which all ...

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Published In

cover image ACM Conferences

SPAA '15: Proceedings of the 27th ACM symposium on Parallelism in Algorithms and Architectures

June 2015

362 pages

ISBN:9781450335881

DOI:10.1145/2755573

General Chair:
Guy Blelloch
Carnegie Mellon University, USA
,
Program Chair:
Kunal Agrawal
Washington University in St. Louis, USA

Copyright © 2015 ACM.

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 ACM 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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Publication History

Published: 13 June 2015

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SPAA '15

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SPAA '15: 27th ACM Symposium on Parallelism in Algorithms and Architectures

June 13 - 15, 2015

Oregon, Portland, USA

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SPAA '15 Paper Acceptance Rate 31 of 131 submissions, 24%;

Overall Acceptance Rate 447 of 1,461 submissions, 31%

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Cited By

Feuilloley LFraigniaud P(2021)Randomized Local Network Computing: Derandomization Beyond Locally Checkable LabelingsACM Transactions on Parallel Computing10.1145/34706408:4(1-25)Online publication date: 15-Oct-2021
https://dl.acm.org/doi/10.1145/3470640
Jahja IYu HHou R(2021)On the Power of Randomization in Distributed Algorithms in Dynamic Networks with Adaptive AdversariesJournal of Parallel and Distributed Computing10.1016/j.jpdc.2021.09.004Online publication date: Oct-2021
https://doi.org/10.1016/j.jpdc.2021.09.004
Censor-Hillel KParter MSchwartzman G(2020)Derandomizing local distributed algorithms under bandwidth restrictionsDistributed Computing10.1007/s00446-020-00376-1Online publication date: 18-Apr-2020
https://doi.org/10.1007/s00446-020-00376-1
Jahja IYu HHou R(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: 18-Aug-2020
https://doi.org/10.1007/978-3-030-57675-2_24
Fraigniaud POlivetti D(2019)Distributed Detection of CyclesACM Transactions on Parallel Computing10.1145/33228116:3(1-20)Online publication date: 15-Oct-2019
https://dl.acm.org/doi/10.1145/3322811
Arfaoui HFraigniaud PIlcinkas DMathieu FPelc A(2019)Deciding and verifying network properties locally with few output bitsDistributed Computing10.1007/s00446-019-00355-1Online publication date: 13-Jun-2019
https://doi.org/10.1007/s00446-019-00355-1
Fraigniaud POlivetti DScheideler CHajiaghayi M(2017)Distributed Detection of CyclesProceedings of the 29th ACM Symposium on Parallelism in Algorithms and Architectures10.1145/3087556.3087571(153-162)Online publication date: 24-Jul-2017
https://dl.acm.org/doi/10.1145/3087556.3087571
Fraigniaud PHeinrich MKosowski A(2016)Local Conflict Coloring2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS)10.1109/FOCS.2016.73(625-634)Online publication date: Oct-2016
https://doi.org/10.1109/FOCS.2016.73
Chang YKopelowitz TPettie S(2016)An Exponential Separation between Randomized and Deterministic Complexity in the LOCAL Model2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS)10.1109/FOCS.2016.72(615-624)Online publication date: Oct-2016
https://doi.org/10.1109/FOCS.2016.72

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