Storage Placement in Computing Continuum for a Robotic Application

Abstract This paper analyzes the timing performance of a persistent storage designed for distributed container-based architectures in industrial control applications. The storage ensures data availability and consistency while accommodating faults. The analysis considers four aspects: 1) placement strategy, 2) design options, 3) data size, and 4) evaluation under faulty conditions. Experimental results considering the timing constraints in industrial applications indicate that the storage solution can meet critical deadlines, particularly under specific failure patterns. Moreover, this evaluation method is applicable for assessing other container-based critical applications with timing constraints that require persistent storage.Further comparison results reveal that, while the method may underperform current centralized solutions under fault-free conditions, it outperforms the centralized solutions in failure scenarios.