A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
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Updated
Oct 17, 2022 - Python
A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
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
In-band Network Telemetry(INT) using P4 for traffic engineering
🛜 Create and manage virtual networks through simple YAML configuration files
Microsoft's open source max-min fair solver for cluster scheduling and traffic engineering
Intelligent Routing and Bandwidth Allocation System with Reinformance Learning(IRBRL)
Robust decomposition, anomaly and change point detection methods for use on automobile traffic data.
Infrastructure as Code & Software Defined Networking Hackathons
A framework for analysis and modeling of IP network flows. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001680
Python parser for the REPETITA data format
Controlador SDN SDWiNeMo
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