On Persisting EMF Data Using Blockchains

In recent years, blockchain technology in synergy with smart contracts has opened new horizons within almost any field from entertainment to healthcare. However, in order to enable innovative usage scenarios, significant efforts are needed to adapt the existing systems and solutions, so the full potential of blockchain-based tools can be leveraged. In this paper, we propose a model-driven framework which provides automated persistence of domain-specific data within Ethereum blockchain platform, starting from Ecore model instances. Moreover, the corresponding Solidity smart contracts are generated relying on model-to-model and model-to-text transformations using Acceleo. The proposed approach is evaluated on persons-movies dataset inside the Ganache environment. According to the obtained results, our solution successfully automatized the persistence of the evaluated dataset.