A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
YATES (Yet Another Traffic Engineering System)
A platform to test reinforcement learning policies in the datacenter setting.
Joint placement and scaling of bidirectional network services with stateful virtual or physical network functions
Microsoft's open source max-min fair solver for cluster scheduling and traffic engineering
🛜 Create and manage virtual networks through simple YAML configuration files
In-band Network Telemetry(INT) using P4 for traffic engineering
Controller Leveraging Intent-Based Networking and SRv6 for Dynamic End to End Traffic Steering
[SIGCOMM 2021] ARROW: Restoration-Aware Traffic Engineering
Intelligent Routing and Bandwidth Allocation System with Reinformance Learning(IRBRL)
[INFOCOM 2026] Official Implementation of "LMTE: Putting the {Reasoning} into WAN Traffic Engineering with Language Models"
Robust decomposition, anomaly and change point detection methods for use on automobile traffic data.
Computational Transportation Science (CTS) resources for everyone!
Satellite network emulator for orbital routing, handoffs, and moving topology.
Infrastructure as Code & Software Defined Networking Hackathons
[NSDI 2021] A Social Network Under Social Distancing: Risk-Driven Backbone Management During COVID-19 and Beyond
A Python-based traffic engineering framework that jointly optimizes link weights and waypoint routing to balance Maximum Link Utilization (MLU) and end-to-end latency. Includes NSGA-II multi-objective optimization and several heuristic baselines. Supports real topologies from SNDLib and TopologyZoo.
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