Abstract : In this paper, we devise a chemistry-inspired programming model for the decentralised execution of scientific workflows, with the possibility of dynamically adapting its shape when its initial specification fails to reach the user's requirements or simply to run due to external conditions. We describe a decentralised architecture to support the model and cover its implementation in the GinFlow software prototype.
