Holistic Resilience in Modern Embedded Architectures: Soft-Error Mitigation, Traceability, and Fault-Tolerant Design
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Modern safety-critical domains — including automotive zonal controllers, aerospace avionics, and industrial control systems — demand embedded computing platforms that deliver high performance while guaranteeing reliability under transient faults and malicious disturbances. Existing literature highlights techniques spanning hardware redundancy, software assertions, trace-based observability, and controller-level mitigation, yet integrating these approaches into cohesive, deployable architectures remains challenging (Entrena et al., 2012; Arifeen et al., 2020).
Objective: This paper synthesizes established and emerging strategies to propose a unified conceptual architecture for resilient heterogeneous embedded systems. The work aims to reconcile the competing objectives of performance, observability, and safety certification by combining selective software-only detection, hardware soft-error controllers, and advanced trace/monitoring infrastructures.
Methods: We perform an in-depth theoretical synthesis of published methods — including selective software assertions (Chielle et al., 2015), soft-error mitigation controllers (Xilinx Inc., 2014), CoreSight trace architectures (ARM Ltd., 2009; 2011), and multilevel emulation-based fault injection (Entrena et al., 2012). We develop a narrative method that maps failure modes to countermeasures and elaborates design patterns for co-design, emphasizing component-level contracts, traceability, and staged mitigation.
Results: The proposed architecture layers lightweight software assertions with hardware error-detection and correction at memory and interconnect levels, integrates a traceable CoreSight-style program-flow telemetry fabric, and places a configurable soft-error mitigation controller at critical fault domains. Analytical reasoning demonstrates that this composition provides graceful degradation, improved diagnosability, and a path to satisfy stringent safety standards while bounding performance overheads.
Conclusions: A co-design strategy that explicitly couples observability (trace), selective detection (assertions), and hardware mitigation (SEM) yields a pragmatic path toward certifiable, high-performance embedded platforms. Future work should validate the architecture through targeted fault-injection experiments and quantify trade-offs in representative automotive and aerospace workloads.