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abstract

Linearizable State Machine Replication of State-Based CRDTs without Logs

Published: 16 July 2019 Publication History

Abstract

General solutions of state machine replication have to ensure that all replicas apply the same commands in the same order, even in the presence of failures. Such strict ordering incurs high synchronization costs due to the use of distributed consensus or a leader. This paper presents a protocol for linearizable state machine replication of conflict-free replicated data types (CRDTs) that neither requires consensus nor a leader. By leveraging the properties of state-based CRDTs---in particular the monotonic growth of a join semilattice---synchronization overhead is greatly reduced. In addition, updates just need a single round trip and modify the state 'in-place' without the need for a log. Furthermore, the message size overhead for coordination consists of a single counter per message. While reads in the presence of concurrent updates are not wait-free without a coordinator, we show that more than 97\,% of reads can be handled in one or two round trips under highly concurrent accesses. Our protocol achieves high throughput without auxiliary processes such as command log management or leader election. It is well suited for all practical scenarios that need linearizable access on CRDT data on a fine-granular scale.

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J. Skrzypczak, F. Schintke, and T. Schütt. 2019. Linearizable State Machine Replication of State-Based CRDTs without Logs. CoRR (2019). arxiv: 1905.08733v1
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Cited By

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  • (2022)Octopus: privacy preserving peer-to-peer transactions system with InterPlanetary file system (IPFS)International Journal of Information Security10.1007/s10207-022-00650-222:3(591-609)Online publication date: 27-Dec-2022
  • (2022)The Distributed Ledger Technology as Development Platform for Distributed Information SystemsProceedings of the International Conference on Intelligent Vision and Computing (ICIVC 2021)10.1007/978-3-030-97196-0_28(344-355)Online publication date: 24-Mar-2022
  • (2020)Making edge-computing resilientProceedings of the 11th ACM Symposium on Cloud Computing10.1145/3419111.3421278(253-266)Online publication date: 12-Oct-2020
  • Show More Cited By

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Published In

cover image ACM Conferences
PODC '19: Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing
July 2019
563 pages
ISBN:9781450362177
DOI:10.1145/3293611
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 July 2019

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Author Tags

  1. conflict-free replicated data types
  2. generalized lattice agreement
  3. linearizabiliy
  4. state machine replication

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  • German Research Foundation (DFG)

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PODC '19
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PODC '19: ACM Symposium on Principles of Distributed Computing
July 29 - August 2, 2019
Toronto ON, Canada

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PODC '19 Paper Acceptance Rate 48 of 173 submissions, 28%;
Overall Acceptance Rate 740 of 2,477 submissions, 30%

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Cited By

View all
  • (2022)Octopus: privacy preserving peer-to-peer transactions system with InterPlanetary file system (IPFS)International Journal of Information Security10.1007/s10207-022-00650-222:3(591-609)Online publication date: 27-Dec-2022
  • (2022)The Distributed Ledger Technology as Development Platform for Distributed Information SystemsProceedings of the International Conference on Intelligent Vision and Computing (ICIVC 2021)10.1007/978-3-030-97196-0_28(344-355)Online publication date: 24-Mar-2022
  • (2020)Making edge-computing resilientProceedings of the 11th ACM Symposium on Cloud Computing10.1145/3419111.3421278(253-266)Online publication date: 12-Oct-2020
  • (2020)RMWPaxos: Fault-Tolerant In-Place Consensus SequencesIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2020.298189131:10(2392-2405)Online publication date: 1-Oct-2020

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