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A Categorical Account of Replicated Data Types

Gadducci, F; Melgratti, H; Roldan, C; Sammartino, M; (2019) A Categorical Account of Replicated Data Types. In: Chattopadhyay, A and Gastin, P, (eds.) 39th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2019)}. (pp. 42:1-42:15). Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik: Dagstuhl, Germany. Green open access

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Abstract

Replicated Data Types (rdts) have been introduced as a suitable abstraction for dealing with weakly consistent data stores, which may (temporarily) expose multiple, inconsistent views of their state. In the literature, rdts are commonly specified in terms of two relations: visibility, which accounts for the different views that a store may have, and arbitration, which states the logical order imposed on the operations executed over the store. Different flavours, e.g., operational, axiomatic and functional, have recently been proposed for the specification of rdts. In this work, we propose an algebraic characterisation of rdt specifications. We define categories of visibility relations and arbitrations, show the existence of relevant limits and colimits, and characterize rdt specifications as functors between such categories that preserve these additional structures.

Type: Proceedings paper
Title: A Categorical Account of Replicated Data Types
Event: FSTTCS 2019, 39th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science, December 11–13, 2019, Bombay, India
Location: Bombay, India
Dates: 11 December 2019 - 13 December 2019
ISBN-13: 978-3-95977-131-3
Open access status: An open access version is available from UCL Discovery
DOI: 10.4230/LIPIcs.FSTTCS.2019.42
Publisher version: http://dx.doi.org/10.4230/LIPIcs.FSTTCS.2019.42
Language: English
Additional information: © Fabio Gadducci, Hernán Melgratti, Christian Roldán, and Matteo Sammartino. Licensed under Creative Commons License CC-BY (http://creativecommons.org/licenses/by/3.0/).
Keywords: Replicated data type, Specification, Functorial characterisation
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10089866
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