Optimizing Cloud Storage with Reinforcement Learning (RL)(1st Offering)
Presenter: Younes Jahandideh
Date: Wednesday, July 2nd, 2025
Time: 2:00 pm
Location: 4th Floor - 300 Ouellette Ave., School of Computer Science, Advanced Computing Hub
This workshop delves into the innovative application of Reinforcement Learning (RL) to optimize data storage in cloud computing. As cloud storage continues to grow in scale and complexity, traditional approaches face challenges in efficiency and resource management. Reinforcement Learning offers dynamic solutions by enabling intelligent decision-making for data placement, retrieval, and storage optimization. This session will cover the fundamental principles of RL and its integration with cloud storage systems. Participants will explore real-world scenarios and theoretical frameworks, gaining insights into how RL can enhance storage efficiency, reduce costs, and address scalability issues. By the end of this workshop, attendees will have a strong foundation for applying RL techniques to solve pressing challenges in cloud data management, equipping them for future research and project development in this evolving field.
- Introduction to Cloud Data Storage Challenges
- Fundamentals of Reinforcement Learning (RL)
- Integrating RL into Cloud Storage Systems
- Optimization Techniques with RL
- Future Trends and Research Directions
Primary familiarity with cloud computing concepts
Younes is a Ph.D. student and research assistant who started his program at the School of Computer Science in Fall 2023. His main research areas are data management, cloud computing, and IoT.