An incremental reinforcement learning scheduling strategy for data-intensive scientific workflows in the cloud

André Nascimento, Vítor Silva, Aline Paes, Daniel de Oliveira

Abstract: Most scientific experiments can be modeled as workflows. These workflows are usually computing- and data-intensive, demanding the use of high-performance computing environments such as clusters, grid...