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Service Oriented Big Data Management for Transport

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 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.
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Contributor : Catarina Ferreira da Silva <>
Submitted on : Sunday, October 2, 2016 - 8:50:41 AM
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Gavin Kemp, Genoveva Vargas-Solar, Catarina Ferreira da Silva, Parisa Ghodous, Christine Collet. Service Oriented Big Data Management for Transport. Smart Cities, Green Technologies, and Intelligent Transport Systems / series Communications in Computer and Information Science , 579, pp.267-281, 2015, Smart Cities, Green Technologies, and Intelligent Transport Systems, Selected Extended Revised Papers of 4th International Conference, SMARTGREENS 2015, and 1st International Conference VEHITS 2015, Lisbon, Portugal, May 20-22, 2015, ⟨10.1007/978-3-319-27753-0_15⟩. ⟨hal-01372400⟩



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