000088389 001__ 88389
000088389 005__ 20200716101506.0
000088389 0247_ $$2doi$$a10.1007/s10270-019-00730-3
000088389 0248_ $$2sideral$$a111539
000088389 037__ $$aART-2019-111539
000088389 041__ $$aeng
000088389 100__ $$aPerez-Palacin, D.
000088389 245__ $$aA UML Profile for the Design, Quality Assessment and Deployment of Data-intensive Applications
000088389 260__ $$c2019
000088389 5060_ $$aAccess copy available to the general public$$fUnrestricted
000088389 5203_ $$aBig 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.
000088389 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T27$$9info:eu-repo/grantAgreement/EC/H2020/644869/EU/Developing Data-Intensive Cloud Applications with Iterative Quality Enhancements/DICE$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 644869-DICE$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2014-58457-R
000088389 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000088389 590__ $$a1.876$$b2019
000088389 591__ $$aCOMPUTER SCIENCE, SOFTWARE ENGINEERING$$b45 / 108 = 0.417$$c2019$$dQ2$$eT2
000088389 592__ $$a0.575$$b2019
000088389 593__ $$aSoftware$$c2019$$dQ2
000088389 593__ $$aModeling and Simulation$$c2019$$dQ2
000088389 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000088389 700__ $$0(orcid)0000-0002-8917-6584$$aMerseguer, J.$$uUniversidad de Zaragoza
000088389 700__ $$0(orcid)0000-0001-5111-8357$$aRequeno, J.I.
000088389 700__ $$aGuerriero, M.
000088389 700__ $$aDi Nitto, E.
000088389 700__ $$aTamburri, D.A.
000088389 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000088389 773__ $$g18 (2019), 3577 – 3614$$pSoftware and Systems Modeling$$tSoftware and Systems Modeling$$x1619-1366
000088389 8564_ $$s5018376$$uhttps://zaguan.unizar.es/record/88389/files/texto_completo.pdf$$yPostprint
000088389 8564_ $$s267182$$uhttps://zaguan.unizar.es/record/88389/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000088389 909CO $$ooai:zaguan.unizar.es:88389$$particulos$$pdriver
000088389 951__ $$a2020-07-16-09:15:57
000088389 980__ $$aARTICLE