Song Fu

As parallel and distributed computing systems become more and more large-scale and complex, new foundations are needed for understanding and controlling their integral properties. Dr. Fu’s research is dedicated to the investigation, establishment, and experimental evaluation of new theoretical foundations and system artifacts to significantly improve the system resilience, power & energy, and performance. His research interest is primarily in high-performance computing, distributed and cloud systems, including

• Resilience and Failure/Error Management
• Anomaly Detection and Failure Diagnosis
• Smart Storage and Storage Reliability
• Power Management and Energy Efficiency
• Autonomic Resource Management and Reconfiguration
• High Performance Computing
• Smart Cities and Smart Communities