Add to ORKGToday, in state of the art process engine architectures, process models are executed by a central orchestrator (i.e. one per process). There are however a lot of drawbacks in using a central orchestrator,including a single point of failure and performance degradation. Decentralization algorithms that distribute the workload of the central orchestrator exist, but the result still suffers from a tight coupling between the different decentralized orchestrators and therefore has a decreased scalability. In this paper, we show practical transformations to decentralize a process model into autonomous, independent process engines. This solves the fundamental problems of the classical decentralization algorithms, increases the availability of the g...