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Meike Knöchel,Klaus Northel checking alone to solve the problem might not be feasible, especially when the number of agents grows or requirements include real-time constraints. In this paper, we propose a novel approach called MCRL that integrates model checking and reinforcement learning to overcome this limitation. Our apAllergic 发表于 2025-3-24 11:32:43
Meike Knöchel,Klaus Northtems should consider how their programs control external devices, and where energy consumption hotspots lie. We present a static analysis to predict and visualize energy consumption of external devices controlled by programs written in a simple imperative programming language. Currently available en叙述 发表于 2025-3-24 17:41:04
Meike Knöchel,Klaus North have interesting properties such as short delays, responsiveness, optimised communications and privacy. However, these devices have low stability and are prone to failures. Thus, there is a need for management protocols to tolerate failures of IoT applications in the Fog. We propose a failure managsyring 发表于 2025-3-24 22:48:07
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