Pantheon of Congestion Control

Congestion control algorithms evaluation on ns3

A platform to test reinforcement learning policies in the datacenter setting.

BBR' - An Implementation of Bottleneck Bandwidth and Round-trip Time Congestion Control for ns-3

Multiagent hybrid simulator of road traffic in Qt/C++ and OpenStreetMap.

A super 🦄

An intelligent queue for NodeJs backed by Redis for handling a heavy load of data

Python package provides powerful tools for creating and managing Ideal Flow Networks (IFN). An Ideal Flow Network is a strongly connected network where the flows are balanced.

Implementation of the paper "LFQ: Online Learning of Per-Flow Queuing Policies Using Deep Reinforcement Learning", Contact: Maximilian Bachl

Framework for high-performance streaming over message-passing systems. High-performance WAN protocols over UDP datagrams. Implemented in golang.

Linux Kernel Module TCP/IP pacing (rate based) congestion control for Linux video streaming/data servers or workstations. It can work better, than BBR from Google. You may use it instead of default Cubic for Linux data servers (and both it makes data uploading faster for Linux Workstations too, so feel faster Internet for your Linux Workstation)…

deprecated. move to https://github.com/q191201771/lalext

📜 [NeurIPS 2022] "Symbolic Distillation for Learned TCP Congestion Control", S P Sharan, Wenqing Zheng, Kuo-Feng Hsu, Jiarong Xing, Ang Chen, Zhangyang Wang

🪗 Dynamic congestion-based concurrency limits for controlling backpressure

Low Extra Delay Background Transport (LEDBAT) implementation in Python3

Framework for testing Active Queue Management (AQM) and congestion control implementations

Reliable file transfer using unreliable User Datagram protocol

A Deadline-Aware, Incentive-Compatible and Proportionally-Fair Mechanism for EV Charging in Distribution Grids

Reliable Transport Protocol (TCP) implementation using unreliable delivery mechanism.