Towards incremental updates in large-scale model indexes

Barmpis, Konstantinos, Shah, Seyyed and Kolovos, Dimitrios S. orcid.org/0000-0002-1724-6563 (2015) Towards incremental updates in large-scale model indexes. In: Modelling Foundations and Applications - 11th European Conference, ECMFA 2015 Held as Part of STAF 2015, Proceedings. 11th European Conference on Modelling Foundations and Applications, ECMFA 2015 Held as Part of International Conference on Software Technologies: Applications and Foundations, STAF 2015, 20-24 Jul 2015 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer , ITA , pp. 137-153.

Abstract

Hawk is a modular and scalable framework that supports monitoring and indexing large collections of models stored in diverse version control repositories. As such models are likely to evolve over time, responding to change in an efficient manner is of paramount importance. This paper presents the incremental update process in Hawk and discusses the efficiency challenges faced. The paper also reports on the evaluation of Hawk against an existing large-scale benchmark, focusing on the observed efficiency benefits in terms of update time; it compares the time taken when using this approach against the naive approach used beforehand, and discusses the benefits of combining the two, gaining improvements averaging a 70.7% decrease in execution time.

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Item Type:	Proceedings Paper
Authors/Creators:	Barmpis, Konstantinos (konstantinos.barmpis@york.ac.uk) Shah, Seyyed (smas502@york.ac.uk) Kolovos, Dimitrios S. https://orcid.org/0000-0002-1724-6563
Copyright, Publisher and Additional Information:	This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.
Dates:	Published: 17 July 2015
Institution:	The University of York
Academic Units:	The University of York The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User:	Pure (York)
Date Deposited:	25 Apr 2024 09:00
Last Modified:	19 Nov 2024 00:18
Published Version:	https://doi.org/10.1007/978-3-319-21151-0_10
Status:	Published
Publisher:	Springer
Series Name:	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Identification Number:	10.1007/978-3-319-21151-0_10
Related URLs:	http://www.scopus.com/inward/record.url?...
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:211856

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