Sublyne

Adaptive Byzantine Fault Tolerance research focused on maintaining safety while dynamically adjusting performance under changing network conditions.

Recovery

~1.2s

Message Cost

~3.22 msg/commit

Safety

0 violations

What it does

Sublyne uses an adaptive “gearbox” to switch between optimistic fast paths and conservative fallback behavior based on live network signatures. The goal is to preserve BFT safety guarantees while reducing latency and communication overhead when conditions allow.

Core ideas

Reputation-aware routing to reduce impact from unreliable participants.
Adaptive mode switching tied to observed timing/fault signals.
Safety-first fallback path with explicit threshold controls.
Empirical evaluation against static baseline configurations.

Status

Active research and iterative experimentation. Current focus: robustness tuning and clearer visual explainability of mode transitions.