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2016 |
ConferenceAbel Gómez, Christophe Joubert, José Merseguer A Tool for Assessing Performance Requirements of Data-Intensive Applications Actas de las XXIV Jornadas de Concurrencia y Sistemas Distribuidos (JCSD 2016), Godel S. L., Granada, Spain, 2016, ISBN: 978-84-16478-90-3. Abstract | Links | BibTeX | Tags: Computer Aided Design (CASE), Data-Intensive Applications (DIA), DICE, Modeling and Analysis of Real Time and Embedded systems (MARTE), Petri net (PN), Posidonia Operations, UML Profiles, Unified Modeling Language (UML) @conference{Gomez:JCSD:2016,Big Data is becoming a core asset for present economy and businesses, and as such, Data-Intensive Applications (DIA) that use Big Data technologies are becoming crucial products in the software development market. However, quality assurance of such applications is still an open issue. The H2020 DICE project aims to define a quality-driven framework for developing DIA based on model-driven engineering (MDE) techniques. In this paper we present a key component of the DICE Framework, the DICE Simulation Tool. The tool is able to simulate the behavior of a DIA to assess its performance using a Petri net model. To showcase its capabilities we use the Posidonia Operations case study, a real-world scenario brought from one of our industrial partners. In addition to this paper, a video demonstrating the tool is available at http://tiny.cc/z1qzay. Open Access |