Big Data Storage based on CAN Protocol

Abstract Big Data refers to huge amounts of heterogeneous data from various traditional and new data sources. This data is constantly changing. However, due to their great heterogeneity, several architectural approaches are proposed to centrally process and analyze the huge amounts of data. A Big Data architecture describes the blueprint of a system that processes a huge amount of data from its storage, processing, analysis and visualization. From one architecture to another, there are advantages and limitations especially in terms of time and processing mode. In our paper, we propose a decentralized architecture based on the peer-to-peer protocol CAN (Content Adressable Network) using image properties associated with SHA-512 keys to secure the data. First, we evaluated the existing Big Data technologies from the architecture to the data storage model. Then, we presented all the conceptual aspects of our architecture and we ended with the evaluation of a symbolic version developed and deployed in a local network.