000078904 001__ 78904
000078904 005__ 20200103141023.0
000078904 0247_ $$2doi$$a10.1007/s10796-018-9851-x
000078904 0248_ $$2sideral$$a105899
000078904 037__ $$aART-2018-105899
000078904 041__ $$aeng
000078904 100__ $$0(orcid)0000-0001-5111-8357$$aRequeno, J.I.$$uUniversidad de Zaragoza
000078904 245__ $$aQuantitative Analysis of Apache Storm Applications: The NewsAsset Case Study
000078904 260__ $$c2018
000078904 5060_ $$aAccess copy available to the general public$$fUnrestricted
000078904 5203_ $$aThe 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.
000078904 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T21-17R-DISCO$$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
000078904 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000078904 590__ $$a2.539$$b2018
000078904 591__ $$aCOMPUTER SCIENCE, THEORY & METHODS$$b28 / 104 = 0.269$$c2018$$dQ2$$eT1
000078904 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b63 / 155 = 0.406$$c2018$$dQ2$$eT2
000078904 592__ $$a0.797$$b2018
000078904 593__ $$aComputer Networks and Communications$$c2018$$dQ1
000078904 593__ $$aTheoretical Computer Science$$c2018$$dQ1
000078904 593__ $$aSoftware$$c2018$$dQ1
000078904 593__ $$aInformation Systems$$c2018$$dQ1
000078904 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000078904 700__ $$0(orcid)0000-0002-8917-6584$$aMerseguer, J.$$uUniversidad de Zaragoza
000078904 700__ $$0(orcid)0000-0002-2605-6243$$aBernardi, S.$$uUniversidad de Zaragoza
000078904 700__ $$0(orcid)0000-0002-9646-1156$$aPerez-Palacin, D.
000078904 700__ $$aGiotis, G.
000078904 700__ $$aPapanikolaou, V.
000078904 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000078904 773__ $$g(2018), 1-19$$pInf. Syst. Front.$$tINFORMATION SYSTEMS FRONTIERS$$x1387-3326
000078904 8564_ $$s785421$$uhttps://zaguan.unizar.es/record/78904/files/texto_completo.pdf$$yPostprint
000078904 8564_ $$s100565$$uhttps://zaguan.unizar.es/record/78904/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000078904 909CO $$ooai:zaguan.unizar.es:78904$$particulos$$pdriver
000078904 951__ $$a2020-01-03-14:02:58
000078904 980__ $$aARTICLE