Sustainable Data Storage Solutions Using AI
Neeta B. Malvi, Jayashree Shivakumar, G. Kalathmika, Nandana P. Pillai, Rakshita Basarakod, P. Deepika, Basudev Sahana · Advances in computational intelligence and robotics book series · 2025
AI-driven data storage systems play a transformative and prominent role in ensuring the key features of sustainability and efficiency of the modern management systems. AI techniques such as compression and deduplication help reduce the storage space by efficiently identifying redundancies and patterns in data. Another major step in the direction of efficient data storage is predictive maintenance powered by machine learning algorithms which minimize hardware failures and extend the primitive lifespan of storage devices. The horizons of energy management can also be expanded by using AI algorithms to dynamically adjust power usage on demand, resulting in substantial energy savings. AI can also enhance security features. This combination of AI's predictive power, energy optimization, and security measures is crucial for achieving sustainable and reliable data storage infrastructures.