Towards Energy-aware Cyber-Physical Systems Verification and Optimization

Abstract

Optimizing CPS behavior in terms of energy consumption can have a significant impact on system reliability. The environment influences the system's behavior, and neglecting the environmental behavior has an indirect negative impact on optimizing the system's behavior. In this work, to increase the system's flexibility, the behavior of the environment is modeled dynamically to apply the disorderliness of its behavior. The resulting models are formally verified. By examining the past environmental behavior and predicting its future behavior, energy optimization is done more dynamically. The verification results acquired using a UPPAAL-SMC show that the optimization of system behavior by predicting the environmental behavior has been successful. Our approach is demonstrated using a case study within an I4 setting.

Metaheuristics Based Energy Efficient Task Scheduling Scheme for Cyber-Physical Systems Environment

“…The dynamics of physical systems and the dynamics of computers communicate in ways that need basically novel design techniques. Principally, they involve mechanisms with distinct performances, hardware, and time limitations which have direct communication with the atmosphere, such as a transportation system, a control system, a robotic system, and many more [6]. Each requirement arises from various kinds of applications; therefore, numerous types of scheduling systems are required.…”