Abstract
Effective visualization of the IP address space is important for navigating the scale and complexity of modern network data.
Hilbert curves are a common method to map one-dimensional address spaces into 2D images.
In this talk, we present Hilby, an open-source React framework for rendering interactive Hilbert maps for both IPv4 and IPv6.
Unlike statically rendered images Hilby supports dynamic aggregation and deaggregation of prefixes, allowing users to seamlessly transition between macroscopic overviews and microscopic details in real-time.
By combining this with other features like coloring and text, Hilby can display both fine details and coarse overviews of large amounts of networking data in the same frame without sacrificing performance or user experience.
Hilby focuses on developer experience in allowing the simple integration of a Hilbert curve by abstracting the complexities of the mapping behind a simple API.
We showcase Hilby through real-world use cases in research and operational settings and release a playground environment for experimenting with user-provided data.
Recording
Video will be added soon.
Speaker
Alexander Männel
I am a PhD student and research associate at the Chair of Distributed and Networked Systems at TU Dresden, supervised by Prof. Dr. Matthias Wählisch. I graduated with a BSc and MSc in Computer Science from TU Dresden in 2021 and 2024 respectively. My research interests include Internet measurements and network security. I am particularly studying network telescopes to better understand their limits and potentials to reliably observe unsolicited Internet traffic.
Rate this talk
You must be logged-in to rate talks