ReGraDa: Reactive Graph Data

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Business processes, data, and run-time control state are all key elements in the design of enterprise applications. However, the different layers for processes, data, and control are usually represented using different technologies that must be explicitly combined and kept in sync. We introduce ReGraDa, a process definition and programming language inspired by the declarative business process language Dynamic Condition Response Graphs and targeting the integrated description of business processes, data and run-time state as reactive graph data. ReGraDa processes compile directly to a data-centric graph-based system (neo4j/cypher), allowing for the database system to manage a process without the need for an external execution engine. The underlying graph structure allows for the definition of native data relations between data elements that subsumes the integrity guaranties of relational and the semi-structured data models. Graph relationships are also used to represent data-dependency and control-flow in the database. We present the reactive semantics of the language, a translation from ReGraDa to cypher, evaluate its performance, and briefly discuss future work and applications.

Original languageEnglish
Title of host publicationCoordination Models and Languages - 23rd IFIP WG 6.1 International Conference, COORDINATION 2021, Held as Part of the 16th International Federated Conference on Distributed Computing Techniques, DisCoTec 2021, Proceedings
EditorsFerruccio Damiani, Ornela Dardha
PublisherSpringer
Publication date2021
Pages188-205
ISBN (Print)9783030781415
DOIs
Publication statusPublished - 2021
Event23rd IFIP WG 6.1 International Conference on Coordination Models and Languages, COORDINATION 2021 held as part of 16th International Federated Conference on Distributed Computing Techniques, DisCoTec 2021 - Virtual, Online
Duration: 14 Jun 202118 Jun 2021

Conference

Conference23rd IFIP WG 6.1 International Conference on Coordination Models and Languages, COORDINATION 2021 held as part of 16th International Federated Conference on Distributed Computing Techniques, DisCoTec 2021
ByVirtual, Online
Periode14/06/202118/06/2021
SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12717 LNCS
ISSN0302-9743

Bibliographical note

Publisher Copyright:
© 2021, IFIP International Federation for Information Processing.

ID: 282949055