Pantheon of Congestion Control
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Updated
Sep 2, 2020 - Python
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.
An attempt of our team to tackle the problem of traffic congestion using deep learning and IoT
Code written for Networks Lab in the 5th Semester
deprecated. move to https://github.com/q191201771/lalext
Reliable file transfer using unreliable User Datagram protocol
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
Ideal Flow Network (IFN) is a Python module and library to compute network efficiency to analyze transportation network, communication networks and data science..
Cocoa is a qdisc which maximizes throughput for each flow while keeping the buffer minimal. Contact: Maximilian Bachl.
Emulator for Testing Congestion Control Algorithms in a Dumbbell Network
Framework for testing Active Queue Management (AQM) and congestion control implementations
📜 [NeurIPS 2022] "Symbolic Distillation for Learned TCP Congestion Control", S P Sharan, Wenqing Zheng, Kuo-Feng Hsu, Jiarong Xing, Ang Chen, Zhangyang Wang
Computer Networks Assignments
Reliable Transport Protocol (TCP) implementation using unreliable delivery mechanism.
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