research-article

Comparative analysis of data persistence technologies for large-scale models

Authors:

Konstantinos Barmpis,

Dimitrios S. KolovosAuthors Info & Claims

XM '12: Proceedings of the 2012 Extreme Modeling Workshop

Pages 33 - 38

https://doi.org/10.1145/2467307.2467314

Published: 01 October 2012 Publication History

Abstract

Scalability in Model-Driven Engineering (MDE) is often a bottleneck for industrial applications. Industrial scale models need to be persisted in a way that allows for their seamless and efficient manipulation, often by multiple stakeholders simultaneously. This paper compares the conventional and commonly used persistence mechanisms in MDE with novel approaches such as the use of graph-based NoSQL databases; Prototype integrations of Neo4J and OrientDB with EMF are used to compare with relational database, XMI and document-based NoSQL database persistence mechanisms. Benchmarking of these technologies is then performed, to measure and compare their relative performance in terms of memory usage and execution time.

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Cited By

Fernández-Caramés TFraga-Lamas P(2024)Forging the Industrial Metaverse for Industry 5.0: Where Extended Reality, IIoT, Opportunistic Edge Computing, and Digital Twins MeetIEEE Access10.1109/ACCESS.2024.342210912(95778-95819)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3422109
Sanchez-Gallegos GSanchez-Gallegos DGonzalez-Compean JReyes-Anastacio HCarretero J(2023)On the building of efficient self-adaptable health data science services by using dynamic patternsFuture Generation Computer Systems10.1016/j.future.2023.03.039145(478-495)Online publication date: Aug-2023
https://doi.org/10.1016/j.future.2023.03.039
Bruneliere Hde Kerchove FDaniel GMadani SKolovos DCabot J(2020)Scalable model views over heterogeneous modeling technologies and resourcesSoftware and Systems Modeling10.1007/s10270-020-00794-6Online publication date: 8-Apr-2020
https://doi.org/10.1007/s10270-020-00794-6
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Index Terms

Comparative analysis of data persistence technologies for large-scale models
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Model verification and validation
    2. Simulation support systems

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cover image ACM Conferences

XM '12: Proceedings of the 2012 Extreme Modeling Workshop

October 2012

53 pages

ISBN:9781450318044

DOI:10.1145/2467307

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 October 2012

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MODELS '12

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SIGSOFT

MODELS '12: ACM/IEEE 15th International Conference on Model Driven Engineering Languages and Systems

October 1, 2012

Innsbruck, Austria

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Cited By

Fernández-Caramés TFraga-Lamas P(2024)Forging the Industrial Metaverse for Industry 5.0: Where Extended Reality, IIoT, Opportunistic Edge Computing, and Digital Twins MeetIEEE Access10.1109/ACCESS.2024.342210912(95778-95819)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3422109
Sanchez-Gallegos GSanchez-Gallegos DGonzalez-Compean JReyes-Anastacio HCarretero J(2023)On the building of efficient self-adaptable health data science services by using dynamic patternsFuture Generation Computer Systems10.1016/j.future.2023.03.039145(478-495)Online publication date: Aug-2023
https://doi.org/10.1016/j.future.2023.03.039
Bruneliere Hde Kerchove FDaniel GMadani SKolovos DCabot J(2020)Scalable model views over heterogeneous modeling technologies and resourcesSoftware and Systems Modeling10.1007/s10270-020-00794-6Online publication date: 8-Apr-2020
https://doi.org/10.1007/s10270-020-00794-6
Hojaji FZamani BHamou-Lhadj AMayerhofer TBousse E(2019)Lossless compaction of model execution tracesSoftware & Systems Modeling10.1007/s10270-019-00737-wOnline publication date: 8-Jun-2019
https://doi.org/10.1007/s10270-019-00737-w
Haeusler MTrojer TKessler JFarwick MNowakowski EBreu R(2019)ChronoSphere: a graph-based EMF model repository for IT landscape modelsSoftware & Systems Modeling10.1007/s10270-019-00725-0Online publication date: 8-Mar-2019
https://doi.org/10.1007/s10270-019-00725-0
Bill RMazak AWimmer MVogel-Heuser B(2018)On the Need for Temporal Model RepositoriesSoftware Technologies: Applications and Foundations10.1007/978-3-319-74730-9_11(136-145)Online publication date: 23-Jan-2018
https://doi.org/10.1007/978-3-319-74730-9_11
Gómez ACabot JWimmer M(2018)TemporalEMF: A Temporal Metamodeling FrameworkConceptual Modeling10.1007/978-3-030-00847-5_26(365-381)Online publication date: 26-Sep-2018
https://doi.org/10.1007/978-3-030-00847-5_26
Malik MTabone MChassin DKara EGuha RKiliccote S(2017)A common data architecture for energy data analytics2017 IEEE International Conference on Smart Grid Communications (SmartGridComm)10.1109/SmartGridComm.2017.8340736(417-422)Online publication date: Oct-2017
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Seybold DDomaschka JRossini AHauser CGriesinger FTsitsipas AStorm TBalland EVarro D(2016)Experiences of models@run-time with EMF and CDOProceedings of the 2016 ACM SIGPLAN International Conference on Software Language Engineering10.1145/2997364.2997380(46-56)Online publication date: 20-Oct-2016
https://dl.acm.org/doi/10.1145/2997364.2997380
Gómez ATisi MSunyé GCabot J(2015)Map-Based Transparent Persistence for Very Large ModelsProceedings of the 18th International Conference on Fundamental Approaches to Software Engineering - Volume 903310.1007/978-3-662-46675-9_2(19-34)Online publication date: 11-Apr-2015
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