Parallel Data Laboratory Talk
— 1:00pm
Location:
Virtual Presentation - ET
-
Remote Access - Zoom
Speaker:
FRANCISCO MATURANA
,
Ph.D. Student, Computer Science Department, Carnegie Mellon University
https://www.cs.cmu.edu/~fmaturan/
Tuning storage codes to heterogeneity: theory and practice
Distributed storage systems support many essential applications, and thus need to be highly reliable. To achieve this goal at a low cost, most systems use erasure codes. The parameters of the erasure code (which affect the cost and level of protection) are set based on the expected operating conditions. However, conditions vary significantly across time and across the system. For example, failure rates, workloads, and density of devices can change with time and in different locations. Many existing systems fail to accommodate these variations, or do so in inefficient ways. My thesis focuses on making distributed storage systems more robust and efficient by enabling them to automatically adapt to these variations. To make progress towards this goal, I develop and use tools from both Coding Theory and Computer Systems research.
—
Francisco Maturana is a final-year PhD student working on distributed storage systems. His research focuses broadly on the theoretical and practical aspects of storage and distributed systems, with the goal of improving their reliability, efficiency, and performance. Zoom Participation.
See announcement.
Event Website:
https://pdl.cmu.edu/talk-series/2023/081023.shtml