Model-Based Data Collection Systems on Fog Platforms

Recent state of technologies development is characterized by an increased complexity and enhanced intelligence of anthropogenic systems being created, by a permanent expansion of information technologies application scope and by emergence of new paradigms of development of software-intensive systems such as cyber-physical systems, Internet of things, cloud and fog platforms. Modern software-intensive systems often have a dynamic structure and implement complex behavior. Data collection in such systems is a non-trivial task. The paper proposes a model approach to building data collection systems in multilevel cyber-physical systems which are realized on the fog computing platforms. Models are proposed to be built in terms of knowledge.