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Optimal Resilience in Systems That Mix Shared Memory and Message Passing

Authors Hagit Attiya , Sweta Kumari, Noa Schiller

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ACM Subject Classification
  • Theory of computation → Distributed computing models
  • Theory of computation → Concurrent algorithms
  • Computing methodologies → Distributed algorithms
Keywords
  • fault resilience
  • m&m model
  • cluster-based model
  • randomized consensus
  • approximate agreement
  • renaming
  • register implementations
  • atomic snapshots

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Abstract

We investigate the minimal number of failures that can partition a system where processes communicate both through shared memory and by message passing. We prove that this number precisely captures the resilience that can be achieved by algorithms that implement a variety of shared objects, like registers and atomic snapshots, and solve common tasks, like randomized consensus, approximate agreement and renaming. This has implications for the m&m-model of [Aguilera et al., 2018] and for the hybrid, cluster-based model of [Damien Imbs and Michel Raynal, 2013; Michel Raynal and Jiannong Cao, 2019].

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Hagit Attiya, Sweta Kumari, and Noa Schiller. Optimal Resilience in Systems That Mix Shared Memory and Message Passing. In 24th International Conference on Principles of Distributed Systems (OPODIS 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 184, pp. 16:1-16:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021) https://doi.org/10.4230/LIPIcs.OPODIS.2020.16

Author Details

Hagit Attiya
  • Department of Computer Science, Technion, Haifa, Israel
Sweta Kumari
  • Department of Computer Science, Technion, Haifa, Israel
Noa Schiller
  • Department of Computer Science, Technion, Haifa, Israel

Funding

This research was supported by ISF grant 380/18.

Acknowledgements

We thank Vassos Hadzilacos, Xing Hu, Sam Toueg and the anonymous reviewers for helpful comments.

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