International Journal of Science, Engineering and TechnologyAuthors: Anjali R. Patankar
Abstract: Data centers are critical infrastructures supporting modern digital services, cloud computing, and enterprise operations, where high service uptime is essential for business continuity, operational efficiency, and customer trust. Despite advances in hardware reliability and traditional monitoring systems, unplanned downtime remains a significant challenge due to hardware failures, software glitches, network disruptions, and human error. The emergence of Artificial Intelligence (AI) offers transformative potential in optimizing data center operations, with hybrid AI models integrating machine learning, deep learning, reinforcement learning, and rule-based systems standing out as particularly effective solutions. Hybrid AI leverages the strengths of multiple AI techniques to predict failures, detect anomalies, optimize resource allocation, and automate decision-making processes. Predictive maintenance powered by hybrid AI can forecast equipment degradation and prevent hardware and software failures before they impact service availability. Dynamic resource management ensures efficient workload distribution and energy optimization, while real-time anomaly detection and fault diagnosis allow for rapid corrective actions, minimizing downtime. Despite these benefits, implementing hybrid AI in data centers presents challenges including data quality and availability, integration complexity with legacy systems, computational and operational costs, interpretability of AI decisions, and scalability across multi-site infrastructures. Looking forward, advancements in autonomous data centers, edge-cloud integration, digital twins, and explainable AI (XAI) are expected to further enhance service reliability, operational intelligence, and sustainability. This review comprehensively explores the role of hybrid AI in improving service uptime in data centers, highlighting its applications, benefits, challenges, and future directions. The findings underscore hybrid AI as a pivotal enabler for resilient, energy-efficient, and adaptive data center operations, offering significant implications for IT managers, researchers, and industry practitioners seeking to optimize infrastructure reliability.
