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Omni-Paxos: Breaking the Barriers of Partial Connectivity
KTH Royal Institute of Technology, Sweden.
RISE Research Institutes of Sweden, Digital Systems, Data Science. KTH Royal Institute of Technology, Sweden.ORCID iD: 0000-0002-6718-0144
RISE Research Institutes of Sweden, Digital Systems, Data Science. KTH Royal Institute of Technology, Sweden.ORCID iD: 0000-0002-9351-8508
2023 (English)In: Proceedings of the 18th European Conference on Computer Systems, EuroSys 2023, Association for Computing Machinery, Inc , 2023, p. 314-330Conference paper, Published paper (Refereed)
Abstract [en]

Omni-Paxos is a system for state machine replication that is completely resilient to partial network partitions, a major source of service disruptions in recent years. Omni-Paxos achieves its resilience through a decoupled design that separates the execution and state of leader election from log replication. The leader election builds on the concept of quorum-connected servers, with the sole focus on connectivity. Additionally, by decoupling reconfiguration from log replication, Omni-Paxos provides flexible and parallel log migration that improves the performance and robustness of reconfiguration. Our evaluation showcases two benefits over state-of-the-art protocols: (1) guaranteed recovery in at most four election timeouts under extreme partial network partitions, and (2) up to 8x shorter reconfiguration periods with 46% less I/O at the leader.

Place, publisher, year, edition, pages
Association for Computing Machinery, Inc , 2023. p. 314-330
Keywords [en]
consensus, partial connectivity, reconfiguration, state machine replication, Breakings, Decouplings, Leader election, Network partitions, Service disruptions, Source of service, Distributed computer systems
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:ri:diva-65403DOI: 10.1145/3552326.3587441Scopus ID: 2-s2.0-85160212180ISBN: 9781450394871 (print)OAI: oai:DiVA.org:ri-65403DiVA, id: diva2:1768365
Conference
18th European Conference on Computer Systems, EuroSys 2023, 8 May 2023 through 12 May 2023
Note

Funding details: BD15-0006; Funding text 1: This work has been supported by the Swedish Foundation of Strategic Research (Grant No.: BD15-0006), Google Cloud Research Credits Program, and Wallenberg AI NEST (Data-Bound Computing). Furthermore, we would like to thank Lars Kroll for early-stage contributions to the Sequence Paxos specification, as well as peer reviewers and Marios Kogias for the improvement suggestions.

Available from: 2023-06-15 Created: 2023-06-15 Last updated: 2023-06-15Bibliographically approved

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Haridi, SeifCarbone, Paris

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