Publicação em atas de evento científico
Aggregating and managing big realtime data in the cloud: Application to intelligent transport for smart cities
Kemp, Gavin (Kemp, G.); Vargas-Solar, Genoveva (Vargas-Solar, G.); Catarina Ferreira da Silva (Ferreira da Silva, C.); Ghodous, Parisa (Ghodous, P.); Collet, Collet (Collet, C.);
VEHITS 2015 - Proceedings of the 1st International Conference on Vehicle Technology and Intelligent Transport Systems
Ano
2015
Língua
--
País
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Scopus

N.º de citações: 8

(Última verificação: 2021-02-24 08:56)

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Abstract/Resumo
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 in 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, appropriate 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.
Agradecimentos/Acknowledgements
We thank the Région Rhône-Alpes who finances the thesis work of Gavin Kemp by means of the ARC 7 programme (http://www.arc7-territoiresmobilites.rhonealpes.fr/), as well as the competitiveness cluster LUTB Transport & Mobility Systems. Systems,
Palavras-chave
ITS,Big Data,Cloud Services,NoSQL
  • Ciências da Computação e da Informação - Ciências Naturais
  • Engenharia Eletrotécnica, Eletrónica e Informática - Engenharia e Tecnologia
Prémios
Artigo nomeado para best paper award da conferência

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