Comparative analysis of data persistence technologies for large-scale models

Konstantinos Barmpis; Dimitris Kolovos

doi:10.1145/2467307.2467314

Comparative analysis of data persistence technologies for large-scale models

Konstantinos Barmpis, Dimitris Kolovos

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	XM '12 Proceedings of the 2012 Extreme Modeling Workshop
Publisher	ACM
Pages	33-38
Number of pages	6
ISBN (Print)	978-1-4503-1804-4
DOIs	https://doi.org/10.1145/2467307.2467314
Publication status	Published - 1 Oct 2012
Event	Extreme Modeling Workshop (XM), MoDELS 2012 - Innsbruck, Austria Duration: 30 Sept 2012 → 5 Oct 2012

Conference

Conference	Extreme Modeling Workshop (XM), MoDELS 2012
Country/Territory	Austria
City	Innsbruck
Period	30/09/12 → 5/10/12

Access to Document

10.1145/2467307.2467314

http://dl.acm.org/citation.cfm?id=2467314

Cite this

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title = "Comparative analysis of data persistence technologies for large-scale models",

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.",

author = "Konstantinos Barmpis and Dimitris Kolovos",

year = "2012",

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doi = "10.1145/2467307.2467314",

language = "English",

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booktitle = "XM '12 Proceedings of the 2012 Extreme Modeling Workshop",

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AU - Kolovos, Dimitris

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N2 - 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.

AB - 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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DO - 10.1145/2467307.2467314

M3 - Conference contribution

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BT - XM '12 Proceedings of the 2012 Extreme Modeling Workshop

PB - ACM

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ER -