Cloud systems and big data processing for environmental telemetry

Current environmental measurement platforms consist of a large number of networked cyber-physical systems, which are interconnected according to different Internet of Things scenarios. It is likely that large telemetry systems have several hundreds of RTUs that are sending data to be processed by intelligence algorithms and stored in a resilient database that is accessible via Web interface on the Internet. The paper proposes to use the recent technologies of Cloud systems and Big Data processing in order to implement a telemetry application for viticulture. In this paper we present the general architecture and methodology for using SlapOS, an open source provisioning and billing system for distributed cloud computing, used to gather centrally environmental information from different sensors at remote observation points. Finally, the main findings for viticulture applications are presented and discussed.