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Kemp, G. , Vargas-Solar, G., Ferreira da Silva, C., Ghodous, P. & Collet, C. (2015). Service Oriented Big Data Management for Transport. In Helfert M., Krempels KH., Klein C., Donellan B., Guiskhin O.  (Ed.), Smart Cities, Green Technologies, and Intelligent Transport Systems. Communications in Computer and Information Science series, vol 579. Switzerland: Springer, Cham.

G. Kemp et al.,  "Service Oriented Big Data Management for Transport", in Smart Cities, Green Technologies, and Intelligent Transport Systems. Communications in Computer and Information Science series, vol 579, Helfert M., Krempels KH., Klein C., Donellan B., Guiskhin O. , Ed., Switzerland, Springer, Cham, 2015, vol. 579

@incollection{kemp2015_1721644096001,
	author = "Kemp, G.  and Vargas-Solar, G. and Ferreira da Silva, C. and Ghodous, P. and Collet, C.",
	title = "Service Oriented Big Data Management for Transport",
	chapter = "",
	booktitle = "Smart Cities, Green Technologies, and Intelligent Transport Systems. Communications in Computer and Information Science series, vol 579",
	year = "2015",
	volume = "579",
	series = "Communications in Computer and Information Science book series",
	edition = "Communications in Computer and Information Science",
	publisher = "Springer, Cham",
	address = "Switzerland"
}

TY  - CHAP
TI  - Service Oriented Big Data Management for Transport
T2  - Smart Cities, Green Technologies, and Intelligent Transport Systems. Communications in Computer and Information Science series, vol 579
VL  - 579
AU  - Kemp, G. 
AU  - Vargas-Solar, G.
AU  - Ferreira da Silva, C.
AU  - Ghodous, P.
AU  - Collet, C.
PY  - 2015
DO  - 10.1007/978-3-319-27753-0_15
CY  - Switzerland
AB  - 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 analyze 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 to propose a service oriented
architecture for big data analytics for transport systems based on the cloud.
Proposing big data management strategies for data produced by transport infrastructures,
whilst maintaining cost effective systems deployed on the cloud, is a
promising approach. We present the advancement for developing the Data acquisition
service and Information extraction and cleaning service as well as the analysis
for choosing a sharding strategy.
ER  -