Paper Key : IRJ************699
Author: Kasthuri Theja Peduru
Date Published: 01 Feb 2025
Abstract
Modern enterprise solid-state drives (SSDs) present unique validation challenges due to their increasingcapacities and complex performance characteristics. The exploration of advanced validationmethodologies reveals innovative solutions, including firmware-level short-stroking techniques,workload-aware preconditioning approaches, and statistical modeling methods. Through extensive testingin both industrial-grade enterprise environments and cloud infrastructure deployments, these enhancedapproaches demonstrate marked improvements in validation efficiency while maintaining high predictionaccuracy. By incorporating machine learning algorithms, advanced preconditioning sequences, andsophisticated statistical models, the methodology provides comprehensive solutions for performancedegradation detection and anomaly prediction in enterprise storage systems.