Neo4EMF, A Scalable Persistence Layer for EMF Models

Benelallam, Amine; Gómez, Abel; Sunyé, Gerson; Tisi, Massimo; Launay, David

doi:10.1007/978-3-319-09195-2_15

Cited by 46 publications

(61 citation statements)

References 5 publications

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“…These models, named set0 -set4 (9.2MB, 27.9MB, 283.2MB, 626.7MB, 676.9MB respectively) are stored in XMI 2.0 format and have been used for benchmarks in various tools [22,29,30].…”

Section: Discussionmentioning

confidence: 99%

“…Based on EMF, a large number of different MDE tools have been developed for different model management operations, such as OCL for model validation [14,15], XText and MoDisco for text-to-model transformation [16,17], ATL and ETL for model-to-model transformation [18,19], EGL and Acceleo for model-to-text transformation [7,20], model merging [21], etc. EMF has become a de facto standard for building MDE tools [22] provided that the majority of model management tools in MDE are implemented atop EMF. As such, the XMI format is inherently supported by the majority of model management tools.…”

Section: Xmi and Mde Toolsmentioning

confidence: 99%

“…Morsa is backed by Mon- Figure 11: SmartSAX as an extension to EMF goDB and is built atop EMF so that standard EMF interfaces can be used for persisting the models. MongoEMF 9 and Neo4EMF [22] are two additional alternatives for storing EMF models in MongoDB and Neo4J 10 (graph-based) databases respectively.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Partial loading of XMI models

Wei

Kolovos

García-Domínguez

et al. 2016

Proceedings of the ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems

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XML Metadata Interchange (XMI) is an OMG-standardised model exchange format, which is natively supported by the Eclipse Modeling Framework (EMF) and the majority of the modelling and model management languages and tools. Whilst XMI is widely supported, the XMI parser provided by EMF is inefficient in some cases where models are readonly (such as input models for model query, model-to-model transformation, etc) as it always requires loading the entire model into memory. In this paper we present a novel algorithm, and a prototype implementation (SmartSAX), which is capable of partially loading models persisted in XMI. SmartSAX offers improved performance, in terms of loading time and memory footprint, over the default EMF XMI parser. We describe the algorithm in detail, and present benchmarking results that demonstrate the substantial improvements of the prototype implementation over the XMI parser provided by EMF. CCS Concepts•Software and its engineering → Software development methods;

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“…These models, named set0 -set4 (9.2MB, 27.9MB, 283.2MB, 626.7MB, 676.9MB respectively) are stored in XMI 2.0 format and have been used for benchmarks in various tools [22,29,30].…”

Section: Discussionmentioning

confidence: 99%

Section: Xmi and Mde Toolsmentioning

confidence: 99%

See 1 more Smart Citation

Partial loading of XMI models

Wei

Kolovos

García-Domínguez

et al. 2016

Proceedings of the ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems

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“…The mapping presented in this Section is adapted from the one presented in [8] dedicated to OCL query evaluation on NeoEMF, a scalable model persistence framework designed to store models into graph databases [2]. In this Section, we present the Gremlin language and describe how OCL expressions are transformed into Gremlin queries according to the UML to GraphDB mapping.…”

Section: Translating Ocl Expressions To Gremlinmentioning

confidence: 99%

UMLtoGraphDB: Mapping Conceptual Schemas to Graph Databases

Daniel

Sunyé

Cabot

2016

Conceptual Modeling

Self Cite

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Abstract. The need to store and manipulate large volume of (unstructured) data has led to the development of several NoSQL databases for better scalability. Graph databases are a particular kind of NoSQL databases that have proven their efficiency to store and query highly interconnected data, and have become a promising solution for multiple applications. While the mapping of conceptual schemas to relational databases is a well-studied field of research, there are only few solutions that target conceptual modeling for NoSQL databases and even less focusing on graph databases. This is specially true when dealing with the mapping of business rules and constraints in the conceptual schema. In this article we describe a mapping from UML/OCL conceptual schemas to Blueprints, an abstraction layer on top of a variety of graph databases, and Gremlin, a graph traversal language, via an intermediate Graph metamodel. Tool support is fully available.

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“…Graph databases are of particular interest because they are optimized for graph representations of models as opposed to relational SQL database that have been shown to not perform as well [50]. Example candidates are: Neo4j which supports transaction processing [2], Trinity which virtualizes random-access memory of a cluster of computer nodes [6], and Apache Giraph which relies on the Hadoop paradigm [32]. A starting point for comparison is Shah et al's tool for benchmarking NoSQL databases to store models [44].…”

Section: Collaboration In a Globalized Environmentmentioning

confidence: 99%

Domain Globalization: Using Languages to Support Technical and Social Coordination

Deantoni

Brun²,

Caillaud

et al. 2015

Globalizing Domain-Specific Languages

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International audienceWhen a project is realized in a globalized environment, multiple stakeholders from different organizations work on the same system. Depending on the stakeholders and their organizations, various (possibly overlapping) concerns are raised in the development of the system. In this context a Domain Specific Language (DSL) supports the work of a group of stakeholders who are responsible for addressing a specific set of concerns. This chapter identifies the open challenges arising from the coordination of globalized domain-specific languages. We identify two types of coordination: technical coordination and social coordination. After presenting an overview of the current state of the art, we discuss first the open challenges arising from the composition of multiple DSLs, and then the open challenges associated to the collaboration in a globalized environment

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Neo4EMF, A Scalable Persistence Layer for EMF Models

Cited by 46 publications

References 5 publications

Partial loading of XMI models

Partial loading of XMI models

UMLtoGraphDB: Mapping Conceptual Schemas to Graph Databases

Domain Globalization: Using Languages to Support Technical and Social Coordination

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