A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
A platform to test reinforcement learning policies in the datacenter setting.
YATES (Yet Another Traffic Engineering System)
Joint placement and scaling of bidirectional network services with stateful virtual or physical network functions
In-band Network Telemetry(INT) using P4 for traffic engineering
🛜 Create and manage virtual networks through simple YAML configuration files
[SIGCOMM 2021] ARROW: Restoration-Aware Traffic Engineering
Microsoft's open source max-min fair solver for cluster scheduling and traffic engineering
Intelligent Routing and Bandwidth Allocation System with Reinformance Learning(IRBRL)
Computational Transportation Science (CTS) resources for everyone!
Robust decomposition, anomaly and change point detection methods for use on automobile traffic data.
Infrastructure as Code & Software Defined Networking Hackathons
Controller Leveraging Intent-Based Networking and SRv6 for Dynamic End to End Traffic Steering
[NSDI 2021] A Social Network Under Social Distancing: Risk-Driven Backbone Management During COVID-19 and Beyond
Implementing self-healing autonomous software-defined Industrial IoT-Edge communication networks in offshore wind power plants
A framework for analysis and modeling of IP network flows. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001680
Maximising throughput in cross traffic flows in a L2/L3 network. Contains code and poster for AdvNet at ETH Zurich, HS 2020.
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