Big data empowered logistics services platform

Cheikhrouhou, Naoufel (Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale) ; de Vrieze, Paul (Faculty of Science and Technology, Bournemouth University, UK) ; Giovannetti, Emanuele (Lord Ashcroft International Business School, Anglia Ruskin University, UK) ; Liu, Shaofeng (Graduate School of Management/ Plymouth Business School, UK) ; Xie, Ying (Lord Ashcroft International Business School, Anglia Ruskin University, UK) ; Xu, Lai (Faculty of Science and Technology, Bournemouth University, UK) ; Yu, Hongnian (Faculty of Science and Technology, Bournemouth University, UK)

Logistics section is one of the most important industrial sections to contribute to European economy. To improving efficiency and energy efficient of logistics, European Commission call new research theme ‘smart, green and integrated transport’ in its H2020 program. The paper presents a version on providing a cloud based platform for supporting big data empowered logistics services to respond this call. The research is supported by inter-disciplinary approaches, which brings experts from telecommunication, cloud computing, sensor networking, service-oriented computing, data analysis, transportation, and logistics areas to work together to provide real-world solutions for future logistics. The research questions and challenges of the platform are highlighted. Overall architecture and data collection are presented.


Type de conférence:
full paper
Ecole:
HEG-GE
Institut:
Centre de Recherche Appliquée en Gestion
Classification:
Économie/gestion
Adresse bibliogr.:
Cambridge, UK, 7th – 9th September 2016
Date:
Cambridge, UK
7th – 9th September 2016
2016
Pagination:
7 p.
Titre du document hôte:
27th European Regional Conference of the International Telecommunications Society
Le document apparaît dans:

Note  Le statut de ce document est: non diffusé

Note: The status of this file is: restricted


 Notice créée le 2016-10-03, modifiée le 2017-09-09

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