There are 12 repositories under congestion-control topic.
Congestion control algorithms evaluation on ns3
BBR' - An Implementation of Bottleneck Bandwidth and Round-trip Time Congestion Control for ns-3
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
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). Compatible with Kernels 4.x+ or 3.x.
📜 [NeurIPS 2022] "Symbolic Distillation for Learned TCP Congestion Control", S P Sharan, Wenqing Zheng, Kuo-Feng Hsu, Jiarong Xing, Ang Chen, Zhangyang Wang
Reliable file transfer using unreliable User Datagram protocol
A Deadline-Aware, Incentive-Compatible and Proportionally-Fair Mechanism for EV Charging in Distribution Grids
Dynamic congestion-based concurrency limits for controlling backpressure
Reliable Transport Protocol (TCP) implementation using unreliable delivery mechanism.
Cocoa is a qdisc which maximizes throughput for each flow while keeping the buffer minimal. Contact: Maximilian Bachl.
Code written for Networks Lab in the 5th Semester
TCP simplified implementation with congestion control and congestion avoidance.
DRL in Network Congestion Control. Completion of the A3C implementation of Indigo based on the original Indigo codes. Tested on Pantheon.
Emulator for Testing Congestion Control Algorithms in a Dumbbell Network
BUET CSE L3T2 Computer Networks Project
Analyzed a Wireshark/TCPdump trace to characterize the TCP flows in the trace and also figured out the HTTP Versions, congestion window sizes and packet losses
Reinforcement Learning environment for Congestion Control with ContainerNet
Congestion control middleware components for ASPNET Core.
Includes NS-2 simulations for benchmarking between several congestion control algorithms such as DCTCP, Timely, Vegas and new ones.
An attempt of our team to tackle the problem of traffic congestion using deep learning and IoT