Summary
This project explores how information behaves in large-scale data storage systems that are designed to recover from hardware failures. Modern storage devices, such as glass-ceramic platters, arrange data in flat, grid-like patterns. To protect against data loss, information is encoded in a way that allows missing pieces to be reconstructed from surrounding bits, using a pre-set recovery rule. Over time, these systems handle vast and varied patterns of data. The research aims to understand how such data patterns evolve and organize themselves, from a statistical perspective. By identifying typi
