Le, Duy ThanhDuy ThanhLeGroßmann, MarcelMarcelGroßmann0000-0003-0396-8538Krieger, Udo R.Udo R.Krieger2022-11-032022-11-032022https://fis.uni-bamberg.de/handle/uniba/56225Entstanden im Rahmen des "Würzburg Workshop on Next-Generation Communication Networks (WueWoWas'22)" der Fakultät für Mathematik und Informatik / Institut für Informatik an der Julius-Maximilans-Universität Würzburg.Today’s advanced Internet-of-Things applications raise technical challenges on cloud, edge, and fog computing. The design of an efficient, virtualized, context-aware, self-configuring orchestration system of a fog computing system constitutes a major development effort within this very innovative area of research. In this paper we describe the architecture and relevant implementation aspects of a cloudless resource monitoring system interworking with an SDN/NFV infrastructure. It realizes the basic monitoring component of the fundamental MAPE-K principles employed in autonomic computing. Here we present the hierarchical layering and functionality within the underlying fog nodes to generate a working prototype of an intelligent, self-managed orchestrator for advanced IoT applications and services. The latter system has the capability to monitor automatically various performance aspects of the resource allocation among multiple hosts of a fog computing system interconnected by SDN.engFog ComputingSDN/NVFContainer VirtualizationAutonomic OrchestrationDocker004workingpaper10.25972/OPUS-28072