A model for correlation-based choreographic programming

Choreographies provide a clear way to specify the intended communication behaviour of concurrent and distributed systems. Previous theoretical work investigated the translation of choreographies into (models of) programs based on message passing. However, existing theories still present a gap between how they model communications-using channel names à la CCS or <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>π</mml:mi></mml:math> -calculus-and implementations-which use lower-level mechanisms for message routing. We start bridging this gap with a new formal framework called <i>Applied Choreographies</i>. In Applied Choreographies, developers write choreographies in a familiar syntax (from previous work) and reason about their behaviour through simple, abstract name-based communication semantics. The framework offers state-of-the-art features of choreographic models, <i>e.g</i>., modular programming supported <i>via</i> choreographic types. To provide its correctness guarantee, Applied Choreographies comes with a compilation procedure that transforms a choreography into a low-level, implementation-adherent calculus of Service-Oriented Computing (SOC). To manage the complexity of the compilation, we divide its formalisation and proof into three stages, respectively dealing with: (a) the <i>translation</i> of name-based communications into their SOC equivalents, namely, using correlation mechanisms based on message data; (b) the <i>projection</i> of the given choreography into a composition of <i>partial</i>, single-participant choreographies (towards their translation into SOC processes); (c) the <i>translation</i> of partial choreographies and the distribution of global, choreography-level state into local SOC processes. We provide behavioural correspondence results for each stage. Thus, given a choreography specification, we guarantee to synthesise its faithful service-oriented implementation.

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Publication Details

Journal
PeerJ Computer Science
Published
2024-12-24
DOI
https://doi.org/10.7717/peerj-cs.1907
Primary Topic
Artificial Intelligence in Games
Type
article
Field-Weighted Citation Impact
0.00

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article

A model for correlation-based choreographic programming

Fabrizio Montesi, Maurizio Gabbrielli, Saverio Giallorenzo
PeerJ Computer Science
Artificial Intelligence in Games
article

A model for correlation-based choreographic programming

Fabrizio Montesi, Maurizio Gabbrielli, Saverio Giallorenzo
article en

Abstract

Choreographies provide a clear way to specify the intended communication behaviour of concurrent and distributed systems. Previous theoretical work investigated the translation of choreographies into (models of) programs based on message passing. However, existing theories still present a gap between how they model communications-using channel names à la CCS or <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>π</mml:mi></mml:math> -calculus-and implementations-which use lower-level mechanisms for message routing. We start bridging this gap with a new formal framework called <i>Applied Choreographies</i>. In Applied Choreographies, developers write choreographies in a familiar syntax (from previous work) and reason about their behaviour through simple, abstract name-based communication semantics. The framework offers state-of-the-art features of choreographic models, <i>e.g</i>., modular programming supported <i>via</i> choreographic types. To provide its correctness guarantee, Applied Choreographies comes with a compilation procedure that transforms a choreography into a low-level, implementation-adherent calculus of Service-Oriented Computing (SOC). To manage the complexity of the compilation, we divide its formalisation and proof into three stages, respectively dealing with: (a) the <i>translation</i> of name-based communications into their SOC equivalents, namely, using correlation mechanisms based on message data; (b) the <i>projection</i> of the given choreography into a composition of <i>partial</i>, single-participant choreographies (towards their translation into SOC processes); (c) the <i>translation</i> of partial choreographies and the distribution of global, choreography-level state into local SOC processes. We provide behavioural correspondence results for each stage. Thus, given a choreography specification, we guarantee to synthesise its faithful service-oriented implementation.

PeerJ Computer ScienceVol. 10
Institut national de recherche en sciences et technologies du numérique (FR), University of Southern Denmark (DK), University of Bologna (IT)
Villum Fonden, Innovationsfonden, Agence Nationale de la Recherche
Openalex Percentile: Top 78%
Artificial Intelligence in Games
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