Data Temperature Classification is a systematic framework within tiered storage systems that categorizes data based on access frequency and temporal usage patterns, distinguishing it from other data management methods by its focus on dynamically assigning data to temperature tiers—such as hot, warm, or cold—to optimize storage cost, performance, and energy efficiency.