Data Consistency in Transactional Storage Systems: A Centralised Semantics

Authors Shale Xiong, Andrea Cerone, Azalea Raad, Philippa Gardner



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Author Details

Shale Xiong
  • Department of Computing, Imperial College London, United Kingdom
Andrea Cerone
  • Department of Computing, Imperial College London, United Kingdom
Azalea Raad
  • MPI-SWS, Kaiserslautern, Germany
Philippa Gardner
  • Department of Computing, Imperial College London, United Kingdom

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Shale Xiong, Andrea Cerone, Azalea Raad, and Philippa Gardner. Data Consistency in Transactional Storage Systems: A Centralised Semantics. In 34th European Conference on Object-Oriented Programming (ECOOP 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 166, pp. 21:1-21:31, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)
https://doi.org/10.4230/LIPIcs.ECOOP.2020.21

Abstract

We introduce an interleaving operational semantics for describing the client-observable behaviour of atomic transactions on distributed key-value stores. Our semantics builds on abstract states comprising centralised, global key-value stores and partial client views. Using our abstract states, we present operational definitions of well-known consistency models in the literature, and prove them to be equivalent to their existing declarative definitions using abstract executions. We explore two applications of our operational framework: 1) verifying that the COPS replicated database and the Clock-SI partitioned database satisfy their consistency models using trace refinement, and 2) proving invariant properties of client programs.

Subject Classification

ACM Subject Classification
  • Theory of computation → Operational semantics
Keywords
  • Operational Semantics
  • Consistency Models
  • Transactions
  • Distributed Key-value Stores

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