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

Autor: Dario Correal, Pedro Fabián Pérez-Arteaga, Camilo Castellanos, Luis A. Guzman, Harold Castro, Yves Denneulin
Přispěvatelé: Grupo de Sostenibilidad Urbana y Regional [UNIANDES] (SUR), Departamento de Ingeniería Civil y Ambiental [Univ de los Andes Colombia] (UNIANDES), Universidad de los Andes [Bogota] (UNIANDES)-Universidad de los Andes [Bogota] (UNIANDES), Departamento de Ingeniería de Sistemas y Computación [Univ de los Andes Colombia] (UNIANDES), Facultad de Ingeniería [Univ de los Andes Colombia] (UNIANDES), Data Aware Large Scale Computing (DATAMOVE ), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Special Session on Software Engineering for Service and Cloud Computing
Special Session on Software Engineering for Service and Cloud Computing, Jul 2018, Porto, Portugal. pp.855-862, ⟨10.5220/0006869308550862⟩
ICSOFT
DOI: 10.5220/0006869308550862⟩
Popis: International audience; 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.
Databáze: OpenAIRE