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Departamento de Ingeniería de Sistemas y Computación, Universidad de los Andes, Edificio Mario Laserna Cra 1° Este N° 19ª-40, Bogotá and Colombia

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1 Papers

Cost Comparison of Lambda Architecture Implementations for Transportation Analytics using Public Cloud Software as a Service

Authors: Pedro F. Pérez-Arteaga ¹ , Cristian C. Castellanos ² , Harold Castro ² , Dario Correal ² , Luis A. Guzmán ¹ and Yves Denneulin ³

Affiliations: ¹ Grupo de Sostenibilidad Urbana y Regional, SUR, Departamento de Ingeniería Civil y Ambiental, Universidad de los Andes, Edificio Mario Laserna Cra 1° Este N° 19ª-40, Bogotá and Colombia , ² Departamento de Ingeniería de Sistemas y Computación, Universidad de los Andes, Edificio Mario Laserna Cra 1° Este N° 19ª-40, Bogotá and Colombia , ³ Ensimag, Institut National Polytechnique de Grenoble, Grenoble and France

Digital Object Identifier: 10.5220/0006869308550862

Proceedings of SE-CLOUD 2018, ISBN: 978-989-758-320-9

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Lambda architecture has gained high relevance for big data analytics by offering mixed and coordinated data processing: real time processing for fast data streams and batch processing for large workloads with high latency. However, concrete implementations over cloud infrastructures and cost comparisons are still not being sufficiently analyzed. This paper presents a cost comparison of Lambda architecture implementations using Software as a Service (SaaS) to support IT decision makers when streaming-analytics solutions must be implemented. To do that, a case study of transportation analytics is developed on three public cloud providers: Google Cloud Platform, Microsoft Azure, and Amazon Web Services Cloud. The evaluation is carried out by comparing deployment, configuration, development, and performance costs in a public-transportation delay-monitoring case study assessing various concurrency scenarios.