Research Topic
Reliable and Secure Data Science Workloads in Data Centers
Supervisor
- Professor Julian Kunkel (University of Göttingen)
Thesis Abstract
Reliable and Secure Data Science Workloads in Data Centers: investigates how high-performance computing systems can withstand faults, errors, and security threats while preserving data integrity, and develops methods to strengthen their resilience and security. This work supports trustworthy execution of data-intensive scientific and AI workloads in data center environments.
Conference Presentations
- ISC 26 I/O in the data center workshop