Towards provenance metadata on chemical-inspired workflow engines

New paradigms are enabling the effective deployment and execution of distributed computing services. The chemical paradigm provides a high-level execution model that allows running scientific workflows in a fully decentralized manner. The paradigm is based on a nature metaphor and envisioned as a chemical reaction where molecules react autonomously according to local conditions. However, up to now, is the emerging chemical-inspired Scientific Workflow Management System (Chem-SWfMS) are decoupled from the concept of provenance. We posit that provenance metadata will play a central role in emerging advanced chemical-inspired workflow engines. In this paper we introduce the central role of provenance on the chemical programming model and also describe several requirements and desiderata for chemical-inspired workflow engines.