Stars
A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
Fast and exact shortest-path distance querying index
The Incremental Deployment Method of Segment Routing over an IPv6 (SRv6) Network Based on Graph Neural Network (GNN) and Multi-Agent Reinforcement Learning (MARL)
Multi agent DQN-based strategy for an Segment Routing network, able to react to link overload.
BGP inter-domain routing via Multi-agent RL
A Bridge between SDN and Cloud Native (Project under CNCF)
A dataset of network topology, including the nodes/edges features and traffic matrices.
Traffic Engineering with Joint Link Weight and Segment Optimization
CFR-RL: Traffic Engineering with Reinforcement Learning in SDN
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
This project displays the functionality of BGP-LS to gain a complete view of the network and the SDN controller’s ability to perform MPLS Traffic Engineering (TE) with the help of PCEP and BGP-LS p…
Python3 implementation of Pensieve for Adaptive-Bitrate-Streaming
Code for ISSCC2019 paper《Traffic Matrix Prediction Based on Deep Learning for Dynamic Traffic Engineering》
tools for SDN based Traffic Engineering
This project focuses on Traffic Engineering using Segment Routing in Wide Area Networks.
Green Network Traffic Engineering Using Segment Routing and Software Defined Networks
Source code of segment routing sdn controller (http://www.cs.utah.edu/~binh/archive/segment_routing/segment-routing-tutorial.html)
Routing Performance Evaluation of a Multi-Domain HybridSDN for its Implementation in Carrier Grade ISP Networks
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