Reference representation techniques for large models

Scheidgen, Markus

doi:10.1145/2487766.2487769

Cited by 9 publications

(7 citation statements)

References 26 publications

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“…Advanced model slicing techniques, aiming at extracting a subset from a model for a specific purpose (monitoring, model comprehension, modularity,...) [18] [4] [36] may be adapted to our use case. However, as we do not require our fragments to fulfill any semantic criteria, we propose a simpler approach, closer to approaches that automatically generate model fragments for the purposes of test generation [6] or efficient model storage [30].…”

Section: Model Fragmentationmentioning

confidence: 99%

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Robust Hashing for Models

Martínez

Gérard

Cabot

2018

Proceedings of the 21th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems

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The increased adoption of model-driven engineering (MDE) in complex industrial environments highlights the value of a company's modeling artefacts. As such, any MDE ecosystem must provide mechanisms to both, protect, and take full advantage of these valuable assets. In this sense, we explore the adaptation of the Robust Hashing technique to the MDE domain. Indeed, robust hashing algorithms (i.e. hashing algorithms that generate similar outputs from similar input data), have been proved useful as a key building block in intellectual property protection, authenticity assessment and fast comparison and retrieval solutions for different application domains. We present a novel robust hashing mechanism for models based on the use of model fragmentation and locality sensitive hashing. We discuss the usefulness of this technique on a number of scenarios and its feasibility by providing a prototype implementation and corresponding experimental evaluation. CCS CONCEPTS Software and its engineering Model-driven software engineering; System modeling languages; Information systems Similarity measures; Near-duplicate and plagiarism detection;

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Section: Model Fragmentationmentioning

confidence: 99%

“…[6] and [30] produce disjoint fragments. We need to drop this constraint so that model fragments are created in an independent way.…”

Section: Model Fragmentationmentioning

confidence: 99%

Robust Hashing for Models

Martínez

Gérard

Cabot

2018

Proceedings of the 21th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems

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“…However, there are also approaches that operate at the fragment level: this is the case for EMF-Fragments by Scheidgen [29]. In this tool, the model is broken up along the EMF containment references that have been marked to be "fragmenting", and these fragments are addressable through a key-value store.…”

Section: Database-backed Model Persistencementioning

confidence: 99%

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

et al. 2017

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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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“…EMF fragments [28] is another persistence layer for EMF that uses NoSQL databases to achieve fast storage of new data and fast navigation of persisted models. In EMF fragments, models are automatically partitioned in fragments so that all data from a single fragment is loaded at a time, and links to other fragments are loaded on demand.…”

Section: Related Workmentioning

confidence: 99%

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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Reference representation techniques for large models

Cited by 9 publications

References 26 publications

Robust Hashing for Models

Robust Hashing for Models

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

Partial loading of XMI models

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