Towards a Cloud Computing Paradigm for Big Data Analysis in Smart Cities

In this paper, we present a Big Data analysis paradigm related to smart cities using cloud computing infrastructures. The proposed architecture follows the MapReduce parallel model implemented using the Hadoop framework. We analyse two case studies: a quality-of-service assessment of public transpor...

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Bibliographic Details

Published in:	Труды Института системного программирования РАН
Main Authors:	Renzo Massobrio, Sergio Nesmachnow, Andrei Tchernykh, Arutyun Avetisyan, Gleb Radchenko
Format:	Article
Language:	English
Published:	Russian Academy of Sciences, Ivannikov Institute for System Programming 2018-10-01
Subjects:	облачные вычисления big data умные города интеллектуальные транспортные системы, большие объемы данных
Online Access:	https://ispranproceedings.elpub.ru/jour/article/view/208