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
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, appropria
te 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)