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Communication Dans Un Congrès Année : 2014

An Architecture to Support the Collection of Big Data in the Internet of Things

Résumé

The Internet of Things (IoT) relies on physical objects interconnected between each others, creating a mesh of devices producing information. In this context, sensors are surrounding our environment (e.g., cars, buildings, smartphones) and continuously collect data about our living environment. Thus, the IoT is a prototypical example of Big Data. The contribution of this paper is to define a software architecture supporting the collection of sensor-based data in the context of the IoT. The architecture goes from the physical dimension of sensors to the storage of data in a cloud-based system. It supports Big Data research effort as its instantiation supports a user while collecting data from the IoT for experimental or production purposes. The results are instantiated and validated on a project named SMARTCAMPUS, which aims to equip the SophiaTech campus with sensors to build innovative applications that supports end-users.
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Dates et versions

hal-01341103 , version 1 (04-07-2016)

Identifiants

Citer

Cyril Cecchinel, Matthieu Jimenez, Sébastien Mosser, Michel Riveill. An Architecture to Support the Collection of Big Data in the Internet of Things. International Workshop on Ubiquitous Mobile cloud (co-located with SERVICES), Jun 2014, Anchorage, United States. ⟨10.1109/SERVICES.2014.83⟩. ⟨hal-01341103⟩
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