A framework to handle big data for cyber-physical systems
Shafiq ur Réhman, Andre Hark, Volker Gruhn · 2017
The use of big data for cyber-physical systems (CPS) is gaining more importance due to the ever-increasing amount of collectable data. Due to the decreasing cost of sensors and the growth of embedded systems, which are increasingly used in the industries as well as in the private sectors, new methods are needed to evaluate and process the collected data. Therefore, in this paper we proposed a framework to handle big data for cyber-physical systems. The framework considered the possible solutions that would be standardization, cloud computing, online and data stream learning, a methodology to process data and multi-agent systems for CPS. Furthermore, we examine the security challenges and big data issues of cyber-physical systems.