A UML Profile for the Design, Quality Assessment and Deployment of Data-intensive Applications

Perez-Palacin, D. ; Merseguer, J. (Universidad de Zaragoza) ; Requeno, J.I. ; Guerriero, M. ; Di Nitto, E. ; Tamburri, D.A.

Resumen: 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.

Idioma: Inglés

DOI: 10.1007/s10270-019-00730-3

Año: 2019

Publicado en: Software and Systems Modeling 18 (2019), 3577 – 3614
ISSN: 1619-1366

Factor impacto JCR: 1.876 (2019)

Categ. JCR: COMPUTER SCIENCE, SOFTWARE ENGINEERING rank: 45 / 108 = 0.417 (2019) - Q2 - T2

Factor impacto SCIMAGO: 0.575 - Software (Q2) - Modeling and Simulation (Q2)

Financiación: info:eu-repo/grantAgreement/ES/DGA/T27
Financiación: info:eu-repo/grantAgreement/EC/H2020/644869/EU/Developing Data-Intensive Cloud Applications with Iterative Quality Enhancements/DICE
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TIN2014-58457-R

Tipo y forma: Artículo (PostPrint)

Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)