Context-Aware Staged Configuration of Process Variants@Runtime

Process-based context-aware applications are increasingly becoming more complex and dynamic. Besides the large sets of process variants to be managed in such dynamic systems, process variants need to be context sensitive in order to accommodate new user requirements and intrinsic complexity. This paradigm shift forces us to defer decisions to runtime where process variants must be customized and executed based on a recognized context. However, there exists a lack of deferral of the entire process variant configuration and execution to perform an automated decision of subsequent variation points at runtime. In this paper, we present a holistic methodology to automatically resolve process variability at runtime. The proposed solution performs a staged configuration considering static and dynamic context data to accomplish effective decision making. We demonstrate our approach by exemplifying a storage operation process in a smart logistics scenario. Our evaluation demonstrates the performance and scalability results of our methodology.