Multilayer Big Data Architecture for Remote Sensing in Eolic Parks
Enrique Moguel, Juan Carlos Preciado, Fernando Sánchez-Figueroa, Miguel A. Preciado, Juan Hernández · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2015
Due to their nature, Eolic parks are situated in zones with difficult access. As a result, management of Eolic parks using remote sensing techniques is of great importance. In addition, the huge amount of data managed by Eolic parks, together with their nature (distributed, heterogeneous, produced, consumed at different times, etc.) makes them ideal to apply big data techniques. In this paper, we present a multilayer hardware/software architecture that applies cloud computing techniques for managing big data from Eolic parks. This architecture allows tackling the processing of large, distributed, and heterogeneous data sets in a remote sensing context. An innovative contribution of this work is the combination of different techniques at three different layers of the proposed hardware/software architecture for Eolic park big data management and processing.