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2015
- handle: 10670/1.8kk2qx
- hal: hal-01372400
- doi: 10.1007/978-3-319-27753-0_15
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info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-27753-0_15
info:eu-repo/semantics/OpenAccess
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Transportation industry Transport Transportation companies Transportation--Economic aspects Transportation, Primitive Public transportation circulationCiter ce document
Gavin Kemp et al., « Service Oriented Big Data Management for Transport », HAL-SHS : sciences de l'information, de la communication et des bibliothèques, ID : 10.1007/978-3-319-27753-0_15
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Résumé
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 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 infra‐ structures, 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.