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A UML Profile for the Design, Quality Assessment and Deployment of Data-intensive Applications
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0002-2736-845X
Univ Zaragoza, Spain.
Univ Zaragoza, Spain.
Politecn Milan, Italy.
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2019 (English)In: Software and Systems Modeling, ISSN 1619-1366, E-ISSN 1619-1374, Vol. 18, no 6, p. 3577-3614Article in journal (Refereed) Published
Abstract [en]

Big Data or Data-Intensive applications (DIAs) seek to mine, manipulate, extract or otherwise exploit the potential intelligence hidden behind Big Data. However, several practitioner surveys remark that DIAs potential is still untapped because of very difficult and costly design, quality assessment and continuous refinement. To address the above shortcoming, we propose the use of a UML domain-specific modeling language or profile specifically tailored to support the design, assessment and continuous deployment of DIAs. This article illustrates our DIA-specific profile and outlines its usage in the context of DIA performance engineering and deployment. For DIA performance engineering, we rely on the Apache Hadoop technology, while for DIA deployment, we leverage the TOSCA language. We conclude that the proposed profile offers a powerful language for data-intensive software and systems modeling, quality evaluation and automated deployment of DIAs on private or public clouds.

Place, publisher, year, edition, pages
Springer, 2019. Vol. 18, no 6, p. 3577-3614
Keywords [en]
UML, Profile, Data-intensive applications, Software design, Big Data, Performance assessment, Model-driven deployment, Apache Hadoop, TOSCA language
National Category
Computer and Information Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-89407DOI: 10.1007/s10270-019-00730-3ISI: 000485320600014OAI: oai:DiVA.org:lnu-89407DiVA, id: diva2:1357348
Available from: 2019-10-03 Created: 2019-10-03 Last updated: 2019-10-03Bibliographically approved

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Perez-Palacin, Diego

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • vancouver
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  • de-DE
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  • Other locale
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Output format
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