78904 20250113143110.0 doi 10.1007/s10796-018-9851-x sideral 105899 ART-2019-105899 eng Requeno, J.I. (orcid)0000-0001-5111-8357 Quantitative Analysis of Apache Storm Applications: The NewsAsset Case Study 2019 Access copy available to the general public Unrestricted The development of Information Systems today faces the era of Big Data. Large volumes of information need to be processed in real-time, for example, for Facebook or Twitter analysis. This paper addresses the redesign of NewsAsset, a commercial product that helps journalists by providing services, which analyzes millions of media items from the social network in real-time. Technologies like Apache Storm can help enormously in this context. We have quantitatively analyzed the new design of NewsAsset to assess whether the introduction of Apache Storm can meet the demanding performance requirements of this media product. Our assessment approach, guided by the Unified Modeling Language (UML), takes advantage, for performance analysis, of the software designs already used for development. In addition, we converted UML into a domain-specific modeling language (DSML) for Apache Storm, thus creating a profile for Storm. Later, we transformed said DSML into an appropriate language for performance evaluation, specifically, stochastic Petri nets. The assessment ended with a successful software design that certainly met the scalability requirements of NewsAsset. info:eu-repo/grantAgreement/ES/DGA/T21-17R-DISCO info:eu-repo/grantAgreement/EC/H2020/644869/EU/Developing Data-Intensive Cloud Applications with Iterative Quality Enhancements/DICE This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 644869-DICE info:eu-repo/grantAgreement/ES/MINECO/TIN2014-58457-R info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 3.63 2019 COMPUTER SCIENCE, THEORY & METHODS 17 / 108 = 0.157 2019 Q1 T1 COMPUTER SCIENCE, INFORMATION SYSTEMS 40 / 155 = 0.258 2019 Q2 T1 1.02 2019 Computer Networks and Communications 2019 Q1 Theoretical Computer Science 2019 Q1 Software 2019 Q1 Information Systems 2019 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Merseguer, J. Universidad de Zaragoza (orcid)0000-0002-8917-6584 Bernardi, S. Universidad de Zaragoza (orcid)0000-0002-2605-6243 Perez-Palacin, D. (orcid)0000-0002-9646-1156 Giotis, G. Papanikolaou, V. 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. (2019), 1-19 Inf. Syst. Front. INFORMATION SYSTEMS FRONTIERS 1387-3326 785421 http://zaguan.unizar.es/record/78904/files/texto_completo.pdf Postprint 100565 http://zaguan.unizar.es/record/78904/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:78904 articulos driver 2025-01-13-14:30:22 ARTICLE