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Multilayer Big Data Architecture for Remote Sensing in Eolic Parks - 2015


Multilayer Big Data Architecture for Remote Sensing in Eolic Parks - 2015


Due to their nature, Eolic parks are situated in zones with troublesome access. Hence, management of Eolic parks using remote sensing techniques is of nice importance. Further, the large quantity of information managed by Eolic parks, along with their nature (distributed, heterogeneous, created, consumed at different times, etc.) makes them ideal to use big information techniques. During this paper, we tend to present a multilayer hardware/software architecture that applies cloud computing techniques for managing massive data from Eolic parks. This design allows tackling the processing of huge, distributed, and heterogeneous information sets during a remote sensing context. An innovative contribution of this work is the mix of various techniques at three different layers of the proposed hardware/software architecture for Eolic park big knowledge management and processing.

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