Stress-Testing Centralised Model Stores

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

doi:10.1007/978-3-319-42061-5_4

Cited by 1 publication

(4 citation statements)

References 9 publications

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“…Examples of model repository tools are Morsa [26], ModelCVS, 14 Connected Data Objects (CDO), EMFStore [20], Modelio, MagicDraw and MetaEdit+. 15 Model repositories allow multiple developers to manage models stored in a centralized repository by ensuring that models remain in a consistent state, while persisting them in a scalable form, such as in a database.…”

Section: Model Repositoriesmentioning

confidence: 99%

“…17 Hawk can maintain a graph database which mirrors the contents of the models stored in one or more version control repositories and perform very efficient queries on them. Hawk can be used as 14 http://www.modelcvs.org/versioning/index.html. 15 http://www.metacase.com/.…”

Section: Heterogeneous Model Indexingmentioning

confidence: 99%

“…The "correct" number of results is computed by running each query across all tools in local installations, without the risk of the network or the stress test influencing the result, and ensuring they all report equivalent results. In our previous conference paper [14], Regarding the failed and incorrect executions of CDO, at this early stage of the study we could only treat it as a black box, as we were merely users of this tool and not their developers. However, our analysis of RQ2 in Sect.…”

Section: Measurements Obtainedmentioning

confidence: 99%

“…The results of this study aim to inform developers and end users of future remote model querying services on the trade-offs between these choices. This paper is an extended version of our prior conference work [14], which discussed a smaller study with fewer tools, queries and research questions. The new contributions of this paper are:…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Model Repositoriesmentioning

confidence: 99%

Section: Heterogeneous Model Indexingmentioning

confidence: 99%

Section: Measurements Obtainedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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