BlockFlow: uma arquitetura baseada em Blockchain para confiança em Workflows científicos colaborativos apoiados por uma plataforma de ecossistema de software

Abstract

Currently, scientific experiments are carried out collaboratively. In scientific collaboration, data sharing, the exchange of ideas and results are essential to promote knowledge and accelerate the development of science. In this sense, with increasingly complex activities, scientific workflows are becoming more data-intensive, requiring collaborative, distributed, and high-performance environments (HPC), such as grids or clouds, for its execution. Cloud environments are becoming increasingly adopted by scientists as they provide scalability and provisioning of resources on demand. On the other hand, in collaborative scientific experiments based on data, interoperability, privacy, and trust must be considered. For this, provenance has been widely recognized to provide a history of the steps taken in carrying out scientific experiments, assisting in the reproducibility of scientific results. In addition, one of the technologies that can improve collaboration, traceability, and confidence in scientific results, with the objective of reproducibility, is Blockchain. In this vein, this work proposes an architecture based on blockchain, provenance, and cloud infrastructure to bring confidence in the execution of collaborative scientific experiments. The architecture allows researchers to create distributed and reliable environments for collaborative scientific experimentation, supporting the collection and analysis of data from scientific workflows. The solution provides a distributed environment, which privileges interoperability, privacy, and trust in data from heterogeneous sources, to allow the reproducibility of the results obtained in collaborative scientific experimentation