CC RAS (Real-time Autonomous Computing Systems) targets developing novel technologies and application of machine learning and deep learning solutions in the computing stack, including: Realtime Distributed Computing, Edge and Cloud computing, Data Storage, and Hardware. 

Research Topics:

  • Edge Computing 
    • Computing Offloading
    • Mobility Management
    • Caching Acceleration
    • Realtime Edge Application
  • Cloud and Data Storage
    • AI-based data caching in storage systems
    • AI-based memory access solutions
    • Modeling the reliability (data failure) of storage medias (Memory, Disk, RAID, …) using AI
    • Real-time and Deadline-aware task assignment in Cloud
  • Hardware for AI
    • Low-Power Edge devices
    • Application of FPGAs for AI

Latest Publications