Autonomic fault-handling and refurbishment using throughput-driven assessment

An evolvable hardware paradigm for autonomic regeneration called Competitive Runtime Reconfiguration (CRR) is developed whereby an individual’s performance is assessed using the dynamic properties of the population rather than a static fitness function. CRR employs a Sliding Evaluation Window of recent throughput data and a periodically updatedOutlier Thresholdwhich avoids the extensive downtime associated with exhaustive Genetic Algorithm (GA) based evaluation. The relative fitness measure favors graceful degradation by leveraging the behavioral diversity among the individuals in the population. Throughput-driven assessment identifies configurations whose discrepancy values violate the Outlier