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

Abstract : 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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https://hal.archives-ouvertes.fr/hal-01341103
Contributor : Cyril Cecchinel <>
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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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