HTTP API Gateway

Service Discovery and Governance Platform for Microservice and Distributed Architecture

Computational framework for reinforcement learning in traffic control

🐳 🚦 Docker Traffic Control - network rate limiting, emulating delays, losses, duplicates, corrupts and reorders of network packets using only container labels or a command-line interface.

traffic control in pure go - it allows to read and alter queues, filters and classes

NetLimiter-like bandwidth limiting and QoS for Linux

A lightweight Python-based Web-GUI for Linux traffic control (tc) to set, view and delete traffic shaping rules.

Lightweight Java SDK used as Proxyless Service Governance

Lightweight Go SDK used as Proxyless Service Governance

Pseudo-driver for the intermediate queue device.

Convert network filtering rules from various formats into BPF programs

An EBPF based IPv4/IPv6 firewall with integrations for OpenZiti Zero-Trust Framework edge-routers and tunnellers

Adaptive real-time traffic light signal control system using Deep Multi-Agent Reinforcement Learning

We developed a system that leverages on YOLO Machine Learning Model for managing the traffic flow based on the vehicle density.

Develop agent-based traffic management system by model-free reinforcement learning

Modeling and control of mixed traffic flow

Fork MQTT traffic from broker A to B like it's potatoes 🥔.

This is a web-based tool for simulating network quality. Ideal for use with software routers on Linux platform. It focuses on simulating weak network (poor network) conditions, with built-in scenario models(3G, 4G, Wi-Fi, Starlink, etc.) and combinations of parameters such as packet loss, delay, jitter, and bandwidth limitation, etc.

Lightweight C++ SDK used as Proxyless Service Governance

OpenTrafficLab is a MATLAB environment capable of simulating simple traffic scenarios with modular vehicle and junction controllers.