Revolutionizing File Systems: Achieving Infinite Capacity with Dynamic Width ๐Ÿš€

Discover how innovative techniques enable file systems to operate in constant time, no matter their size. Dive into the latest breakthroughs in extending SBSA's infinite capacity with dynamic width.

Revolutionizing File Systems: Achieving Infinite Capacity with Dynamic Width ๐Ÿš€
Aaron Robert Cattell
10 views โ€ข Jun 2, 2025
Revolutionizing File Systems: Achieving Infinite Capacity with Dynamic Width ๐Ÿš€

About this video

๐Ÿš€ Can file systems truly operate in constant time, regardless of size?
In this video, we explore a breakthrough concept: a unified proof that demonstrates how certain file management operations can be performed in O(1) time, effectively breaking the logโ€ฏn barrier traditionally seen in data structures like trees and hash maps.

๐Ÿ“ We cover:

The problem: why file access, indexing, and updates typically scale with logโ€ฏn

The innovation: a unified method achieving constant time complexity

Underlying data structures and memory model assumptions

Real-world implications for operating systems, cloud storage, and databases

๐Ÿ’ก Whether you're into algorithms, systems design, or theoretical computer science, this talk bridges abstract complexity theory and practical performance engineering.

๐Ÿ”ฅ This isn't just optimizationโ€”it's a paradigm shift.

๐Ÿ‘ Like, ๐Ÿ’ฌ comment, and ๐Ÿ”” subscribe if you're into cutting-edge computer science and breakthroughs in algorithmic efficiency.

#Algorithms #DataStructures #ConstantTime #ComputerScience #FileManagement #SystemsDesign #lognBarrier #BigONotation #CSBreakthrough

https://github.com/AaronCattell/Breaking-the-log-n-Barrier

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Video Information

Views

10

Duration

6:42

Published

Jun 2, 2025

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