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...
Main Authors: | Renzo Massobrio, Sergio Nesmachnow, Andrei Tchernykh, Arutyun Avetisyan, Gleb Radchenko |
---|---|
Format: | Article |
Language: | English |
Published: |
Ivannikov Institute for System Programming of the Russian Academy of Sciences
2018-10-01
|
Series: | Труды Института системного программирования РАН |
Subjects: | |
Online Access: | https://ispranproceedings.elpub.ru/jour/article/view/208 |
Similar Items
-
The web-laboratory architecture based on the cloud and the UniHUB implementation as an extension of the OpenStack platform
by: O. I. Samovarov, et al.
Published: (2018-10-01) -
Processing of raw astronomical data of large volume by MapReduce model
by: S. . Gerasimov, et al.
Published: (2018-10-01) -
Automating cluster creation and management for Apache Spark in Openstack cloud
by: O. Borisenko, et al.
Published: (2018-10-01) -
Developing scalable software infrastructure for data storage and processing for computational biology problems
by: O. Borisenko, et al.
Published: (2018-10-01) -
JINR Cloud Service: Status and Perspectives
by: N. . Balashov, et al.
Published: (2018-10-01)