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Aggregating and Managing Big Realtime Data in the Cloud - Application to Intelligent Transport for Smart Cities

Topics: Big Data Analytics for Intelligent Transportation; Big Data and Vehicle Analytics; Connected Services; Mobility and the Internet of Vehicles; Systems Modeling and Simulation; Vehicle Environment Perception; Vehicular Cloud Computing

Authors: Gavin Kemp 1 ; Genoveva Vargas-Solar 2 ; Catarina Ferreira Da Silva 1 ; Parisa Ghodous 1 and Christine Collet 3

Affiliations: 1 Université Lyon 1, France ; 2 LIG Grenoble Institute of Technology and LIG-LAFMIA, France ; 3 LIG Grenoble Institute of Technology, France

ISBN: 978-989-758-109-0

Keyword(s): ITS, Big Data, Cloud Services, NoSQL.

Related Ontology Subjects/Areas/Topics: Industrial Engineering ; Informatics in Control, Automation and Robotics ; Systems Modeling and Simulation

Abstract: The increasing power of computer hardware and the sophistication of computer software have brought many new possibilities to information world. On one side the possibility to analyse massive data sets has brought new insight, knowledge and information. On the other, it has enabled to massively distribute computing and has opened to a new programming paradigm called Service Oriented Computing particularly well adapted to cloud computing. Applying these new technologies to the transport industry can bring new understanding to town transport infrastructures. The objective of our work is to manage and aggregate cloud services for managing big data and assist decision making for transport systems. Thus this paper presents our approach for developing data storage, data cleaning and data integration services to make an efficient decision support system. Our services will implement algorithms and strategies that consume storage and computing resources of the cloud. For this reason, appropriat e consumption models will guide their use. Proposing big data management strategies for data produced by transport infrastructures, whilst maintaining cost effective systems deployed on the cloud, is a promising approach. (More)

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Paper citation in several formats:
Kemp, G.; Vargas-Solar, G.; Ferreira Da Silva, C.; Ghodous, P. and Collet, C. (2015). Aggregating and Managing Big Realtime Data in the Cloud - Application to Intelligent Transport for Smart Cities.In Proceedings of the 1st International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-109-0, pages 107-112. DOI: 10.5220/0005491001070112

@conference{vehits15,
author={Gavin Kemp. and Genoveva Vargas{-}Solar. and Catarina Ferreira Da Silva. and Parisa Ghodous. and Christine Collet.},
title={Aggregating and Managing Big Realtime Data in the Cloud - Application to Intelligent Transport for Smart Cities},
booktitle={Proceedings of the 1st International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2015},
pages={107-112},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005491001070112},
isbn={978-989-758-109-0},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Aggregating and Managing Big Realtime Data in the Cloud - Application to Intelligent Transport for Smart Cities
SN - 978-989-758-109-0
AU - Kemp, G.
AU - Vargas-Solar, G.
AU - Ferreira Da Silva, C.
AU - Ghodous, P.
AU - Collet, C.
PY - 2015
SP - 107
EP - 112
DO - 10.5220/0005491001070112

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