Pantheon of Congestion Control
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Updated
Sep 2, 2020 - Python
Pantheon of Congestion Control
Congestion control algorithms evaluation on ns3
BBR' - An Implementation of Bottleneck Bandwidth and Round-trip Time Congestion Control for ns-3
A platform to test reinforcement learning policies in the datacenter setting.
Multiagent hybrid simulator of road traffic in Qt/C++ and OpenStreetMap.
An intelligent queue for NodeJs backed by Redis for handling a heavy load of data
Implementation of the paper "LFQ: Online Learning of Per-Flow Queuing Policies Using Deep Reinforcement Learning", Contact: Maximilian Bachl
Ideal Flow Network (IFN) is a Python module and library to compute network efficiency to analyze transportation and communication networks.
deprecated. move to https://github.com/q191201771/lalext
Low Extra Delay Background Transport (LEDBAT) implementation in Python3
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)…
Framework for testing Active Queue Management (AQM) and congestion control implementations
Cocoa is a qdisc which maximizes throughput for each flow while keeping the buffer minimal. Contact: Maximilian Bachl.
Reliable file transfer using unreliable User Datagram protocol
TCP simplified implementation with congestion control and congestion avoidance.
Emulator for Testing Congestion Control Algorithms in a Dumbbell Network
An attempt of our team to tackle the problem of traffic congestion using deep learning and IoT
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