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Electronic Commerce Research
Erschienen in: Electronic Commerce Research 3/2014

01.11.2014

IoT sensing framework with inter-cloud computing capability in vehicular networking

verfasst von: Jiafu Wan, Caifeng Zou, Keliang Zhou, Rongshuang Lu, Di Li

Erschienen in: Electronic Commerce Research | Ausgabe 3/2014

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Abstract

In order to improve convenience, efficiency, and safety in vehicular networking applications (VNA), we propose a novel business model based on platform production services (PPS), design an inter-cloud architecture, and then apply this emerging scheme to vehicle maintenance services (VMS). Both internet of things (IoT) sensing framework and inter-cloud computing architecture are the crucial factors in implementing PPS business model. In the proposed scheme, implementation concept, system architecture, and scalable applications are introduced. Then we design IoT sensing framework for VNA, including cloud services and computation level scalability, inter-cloud architecture supporting telematics applications, and telematics application scenarios. After dissecting mobile cloud computing forming mechanism, we carry out the semantic modeling analysis for inter-cloud service model, and then design a VMS event processing flow to allow the management and cooperation among diverse components by means of event manager. The performance evaluation exemplified by VMS is implemented by means of probabilistic methods. The results show that convenience and efficiency increase in VNA as compared to existing schemes.
Vorheriger Artikel Correlating messages from multiple IM networks to identify digital forensic artifacts
Nächster Artikel PSO based time series models applied in exchange rate forecasting for business performance management

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Metadaten
Titel
IoT sensing framework with inter-cloud computing capability in vehicular networking
verfasst von
Jiafu Wan
Caifeng Zou
Keliang Zhou
Rongshuang Lu
Di Li
Publikationsdatum
01.11.2014
Verlag
Springer US
Erschienen in
Electronic Commerce Research / Ausgabe 3/2014
Print ISSN: 1389-5753
Elektronische ISSN: 1572-9362
DOI
https://doi.org/10.1007/s10660-014-9147-2

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