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Towards Low-Jitter and Energy-Efficient Data Processing in Cyber-Physical Information Systems

Publication by Stefan Reif, Luis Gerhorst, Kilian Bender, Timo Hönig
Related to the Energy-, Latency- And Resilience-aware Networking (e.LARN) project
Published in 52nd Hawaii International Conference on System Sciences (HICCS), Maui, Hawaii, USA, 2019


Cyber-physical systems build the backbone of today's information systems and implement, for example, complex control applications that strictly rely on sensor data. Thus, it is inherently important for cyber-physical systems to provide a reliable data path throughout the entire system: from the sensor nodes to the data post-processing infrastructure in networked environments (e.g., edge and cloud infrastructure). This paper analyzes system-level aspects of the data path of cyber-physical systems (i.e., storage components and file systems) and reveals limitations of current technologies. To improve the current state of the art, we present the implementation of an embedded file system with low jitter which improves predictability characteristics of cyber-physical systems.