Partial loading of XMI models

Wei, Ran; Kolovos, Dimitrios S.; García-Domínguez, Antonio; Barmpis, Konstantinos; Paige, Richard F.

doi:10.1145/2976767.2976787

Cited by 14 publications

(16 citation statements)

References 20 publications

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“…It would be interesting to find out ways to reduce its impact. At the pre-processing level, it would be possible to filter the input model at loading time using approaches like partial model loading [27]. This would enable the engine to start the transformation without waiting for the model to be fully loaded.…”

Section: Additional Optimizationsmentioning

confidence: 99%

Efficient Execution of ATL Model Transformations Using Static Analysis and Parallelism

Cuadrado

Burgueño

Wimmer

et al. 2022

IIEEE Trans. Software Eng.

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Although model transformations are considered to be the heart and soul of Model Driven Engineering (MDE), there are still several challenges that need to be addressed to unleash their full potential in industrial settings. Among other shortcomings, their performance and scalability remain unsatisfactory for dealing with large models, making their wide adoption difficult in practice. This paper presents A2L, a compiler for the parallel execution of ATL model transformations, which produces efficient code that can use existing multicore computer architectures, and applies effective optimizations at the transformation level using static analysis. We have evaluated its performance in both sequential and multi-threaded modes obtaining significant speedups with respect to current ATL implementations. In particular, we obtain speedups between 2.32x and 38.28x for the A2L sequential version, and between 2.40x and 245.83x when A2L is executed in parallel, with expected average speedups of 8.59x and 22.42x, respectively.

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Section: Additional Optimizationsmentioning

confidence: 99%

Efficient Execution of ATL Model Transformations Using Static Analysis and Parallelism

Cuadrado

Burgueño

Wimmer

et al. 2022

IIEEE Trans. Software Eng.

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“…(2) Effective Metamodel The output of static analyser is in the form of an effective metamodel for each model involved in the program. The concept of effective metamodel was introduced in [17] in order to support partial loading of XMI files. As for partial loading, we need only the parts of the model which are accessed by the program.…”

Section: Approachmentioning

confidence: 99%

“…SmartSAX is another prototype which was introduced in [17]. It supports partial loading of XMI model files.…”

Section: Related Workmentioning

confidence: 99%

“…According to the designed approach, we use a static analyser for extracting the effective metamodel, which has information about referenced model elements in code. We are currently working on extracting the effective metamodel in order to detect relevant model elements starting from the incomplete algorithm introduced in [17].…”

Section: Current Progress and Next Stepsmentioning

confidence: 99%

See 1 more Smart Citation

Intelligent run-time partitioning of low-code system models

Jahanbin

Kolovos

Gerasimou

2020

Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedi

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Over the last 2 decades, several dedicated languages have been proposed to support model management activities such as model validation, transformation, and code generation. As software systems become more complex, underlying system models grow proportionally in both size and complexity. To keep up, model management languages and their execution engines need to provide increasingly more sophisticated mechanisms for making the most efficient use of the available system resources. Efficiency is particularly important when model-driven technologies are used in the context of low-code platforms where all model processing happens in pay-per-use cloud resources. In this paper, we present our vision for an approach that leverages sophisticated static program analysis of model management programs to identify, load, process and transparently discard relevant model partitions -instead of naively loading the entire models into memory and keeping them loaded for the duration of the execution of the program. In this way, model management programs will be able to process system models faster with a reduced memory footprint, and resources will be freed that will allow them to accommodate even larger models. CCS CONCEPTS• Software and its engineering → Model-driven software engineering.

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“…In this case, even a simple query or a small change requires loading the entire model in memory at once: this is impractical for large models. Recent work by Wei et al [33] demonstrated a specialization of the EMF XMI parser which can load only the subset required by the query to be run: while this reduced loading times and memory usage, changes in the partially loaded models cannot be saved back without losing information.…”

Section: File-based Model Persistencementioning

confidence: 99%

Stress-testing remote model querying APIs for relational and graph-based stores

et al. 2017

Self Cite

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Recent research in scalable model-driven engineering now allows very large models to be stored and queried. Due to their size, rather than transferring such models over the network in their entirety, it is typically more efficient to access them remotely using networked services (e.g. model repositories, model indexes). Little attention has been paid so far to the nature of these services, and whether they remain responsive with an increasing number of concurrent clients. This paper extends a previous empirical study on the impact of certain key decisions on the scalability of concurrent model queries on two domains, using an Eclipse Connected Data Objects model repository, four configurations of the Hawk model index and a Neo4j-based configuration of the NeoEMF model store. The study evaluates the impact of the network protocol, the API design, the caching layer, the query language and the type of database and analyses the reasons for their varying levels of performance. The design of the API was shown to make a bigger difference compared to the network protocol (HTTP/TCP) used. Where available, the query-specific indexed and derived attributes in Hawk outperformed the comprehensive generic caching in CDO. Finally, the results illustrate the still ongoing evolution of graph databases: two tools using different versions of the same backend had very different performance, with one slower than CDO and the other faster than it.

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Partial loading of XMI models

Cited by 14 publications

References 20 publications

Efficient Execution of ATL Model Transformations Using Static Analysis and Parallelism

Efficient Execution of ATL Model Transformations Using Static Analysis and Parallelism

Intelligent run-time partitioning of low-code system models

Stress-testing remote model querying APIs for relational and graph-based stores

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