Madhavan Mukund

Bounded Implementations of Replicated Data Types

M Mukund, Gautham Shenoy R and S P Suresh

Proc. VMCAI 2015, Springer LNCS 8931 (2015) 355-372.

© Springer-Verlag Berlin Heidelberg


Replicated data types store copies of identical data across multiple servers in a distributed system. For the replicas to satisfy eventual consistency, these data types should be designed to guarantee conflict free convergence of all copies in the presence of concurrent updates. This requires maintaining history related metadata that, in principle, is unbounded.

Burkhardt et al have proposed a declarative framework to specify eventually consistent replicated data types (ECRDTs). Using this, they introduce replication-aware simulations for verifying the correctness of ECRDT implementations. Unfortunately, this approach does not yield an effective strategy for formal verification.

By imposing reasonable restrictions on the underlying network, we recast their declarative framework in terms of standard labelled partial orders. For well-behaved ECRDT specifications, we are able to construct canonical finite-state reference implementations with bounded metadata, which can be used for formal verification of ECRDT implementations via CEGAR. We can also use our reference implementations to design more effective test suites for ECRDT implementations.

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