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 network, communication networks and data science..
deprecated. move to https://github.com/q191201771/lalext
Framework for high-performance streaming over message-passing systems. High-performance WAN protocols over UDP datagrams. Implemented in golang.
📜 [NeurIPS 2022] "Symbolic Distillation for Learned TCP Congestion Control", S P Sharan, Wenqing Zheng, Kuo-Feng Hsu, Jiarong Xing, Ang Chen, Zhangyang Wang
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)…
Low Extra Delay Background Transport (LEDBAT) implementation in Python3
Framework for testing Active Queue Management (AQM) and congestion control implementations
A Deadline-Aware, Incentive-Compatible and Proportionally-Fair Mechanism for EV Charging in Distribution Grids
Reliable file transfer using unreliable User Datagram protocol
Dynamic congestion-based concurrency limits for controlling backpressure
Cocoa is a qdisc which maximizes throughput for each flow while keeping the buffer minimal. Contact: Maximilian Bachl.
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