A new Kappa Architecture for IoT Data Management in Smart Farming

Agriculture 4.0 is a domain of IoT in full growth which produces large amounts of data from machines , robots and sensors networks. This data must be able to be processed very quickly, especially for systems that need to make real-time decisions. The Kappa architecture provides a way to process Agriculture 4.0 data at high speed in the cloud and thus meet the requirements for processing speed. This paper presents an optimized Kappa architecture for the management of data in Agriculture. It optimized the classical Kappa architecture in order to improve memory management and processing speed. It fine tuned parameters of the Kappa architecture to process data from a concrete use case. It is showed the impact of the parameters tweaking on the speed of treatment. It is discovered that the combination of Apache Samza with Apache Druid offers the better performances.