Edge Computing is a new paradigm that becomes the most attractive model in both industrial and academic fields. It is considered as an evolution of Cloud Computing thanks to its ability to process and store data in a decentralized way at close level of its sources and no longer on the Cloud infrastructure. Edge Computing provides a highly efficient way to improve reliability, low latency, and a good reduction in bandwidth requirements in data centers. The degree of complexity, the problem of partitioning the workload on the different layers constituting the Edge Computing architecture, and the diversity of the devices, lead to an indeterminate definition of the elements involved in Edge Computing architecture. In this paper, we implement a reference architecture dedicated to Edge Computing "EECA" (Enhanced Edge Computing) with a high level of expressiveness that supports all Edge Computing concepts. Then, we concretize the obtained results, via the implementation of a prototype regarding the use case of Edge Risk Control System (ERCS).