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Constraining the eventual in eventual consistency

Published:23 April 2018Publication History

ABSTRACT

CRDTs are highly available replicated data structures which offer strong eventual consistency in the face of concurrent operations [3]. By their definition, CRDTs eventually converge to a consistent state given enough time. However, this is not strict enough for some distributed applications. Current state-of-the-art CRDT implementations fail to provide programmers with the means to specify these constraints. As a result, programmers need to write application-level code which ignores stale or timed-out operations. In this paper, we introduce a leasing model which allows programmers to declaratively specify timing constraints for CRDTs. In short, programmers are able to attach leases to operations on a CRDT instance. When such a lease expires the underlying implementation ensures that the operation is eventually canceled for all replicas.

References

  1. T. Van Cutsem, S. Mostinckx, E. Gonzalez Boix, J. Dedecker, and W. De Meuter. 2007. AmbientTalk: Object-oriented Event-driven Programming in Mobile Ad hoc Networks. In Chilean Society of Computer Science, 2007. SCCC '07. XXVI International Conference of the. 3--12. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. C. Gray and D. Cheriton. 1989. Leases: An Efficient Fault-tolerant Mechanism for Distributed File Cache Consistency. SIGOPS Oper. Syst. Rev. 23, 5 (Nov. 1989), 202--210. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. M. Shapiro, N. Preguiça, C. Baquero, and M. Zawirski. 2011. A comprehensive study of Convergent and Commutative Replicated Data Types. Technical Report 7506.Google ScholarGoogle Scholar

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  1. Constraining the eventual in eventual consistency

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        • Published in

          cover image ACM Conferences
          PaPoC '18: Proceedings of the 5th Workshop on the Principles and Practice of Consistency for Distributed Data
          April 2018
          37 pages
          ISBN:9781450356558
          DOI:10.1145/3194261

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          Publication History

          • Published: 23 April 2018

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