Abstract
Adaptive-Hybrid Redundancy (AHR) shows promise as a method to allow flexibility when selecting between processing speed and energy efficiency while maintaining a level of error mitigation in space radiation environments. Whereas previous work demonstrated AHR’s feasibility in an error free environment, this work analyzes AHR performance in the presence of errors. Errors are deliberately injected into AHR at specific times in the processing chain to demonstrate best and worst case performance impacts. This analysis demonstrates that AHR provides flexibility in processing speed and energy efficiency in the presence of errors.
Highlights
Adaptive-Hybrid Redundancy (AHR) was developed to enable flexibility in radiation hardening redundancy methods for space vehicles
The AHR MIPS Triple Modular Redundancy (TMR) Type A and Type B-Best errors appear to fall on a line between the Temporal Software Redundancy (TSR) MIPS Best-case error and TMR MIPS Type A and Type B-Best errors
A similar pattern appears for AHR MIPS TMR Type B-Worst and TSR Worst-case errors which appear to nearly fall on a line between the TMR Type B-Worst and TSR Worst-case errors
Summary
Adaptive-Hybrid Redundancy (AHR) was developed to enable flexibility in radiation hardening redundancy methods for space vehicles. AHR incorporates Triple Modular Redundancy (TMR) and Temporal Software Redundancy (TSR) such that AHR can switch between TMR and TSR modes as needed [1] This previous work demonstrated that AHR functions as designed, switches from TMR to TSR, and uses less energy to complete programs than TMR while completing those programs in less time than TSR in an error free environment [1]. This paper does not seek to prescribe how much time AHR should spend in TMR or TSR operating modes, but rather to provide a new redundancy framework to space vehicle designers, mission planners, and operators so they can decide how much time AHR should spend in each mode based upon radiation environment, processing speed requirements, energy consumption requirements, and mission requirements. Previous Single-Event Upset (SEU) mitigation research has focused on hardware, software, hybrid, or adaptive redundancy techniques.
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