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Software-defined Constrained Optimal Routing (SCOR) is a northbound interface for SDN (Software Defined Networking) which can be used with any SDN controller for creating QoS Routing applications based on Constraint Programming
SDN project based on ryu and mininet
Software-defined Networking "Implementation of measurement-based QoS mechanisms"
这个目录中存放的是自己学习SDN时写的mininet拓扑结构和Ryu应用程序。
Implementation of RYU based Software Defined Networks using Mininet
SDN POX Controller with QoS and Firewall implemented for Mininet
Implementation of quality of service and call admission control features within sdn network. This implementation uses Ryu Framework (https://ryu-sdn.org/) to develop controller applications based on OpenFlow v1.3
Using Dijkstra's algorithm for a SDN network routing. The network is simulated by Mininet and the routing algorithm is written with Ryu SDN framework
Mix of files
Reproduce the Simulation for Software Defined Network(SDN) based on Omnetpp-5.4.1 and Reinforcement Learning Algorithm in paper "QoS-Aware Adaptive Routing in Multi-layer Hierarchical Software Defined Networks: A Reinforcement Learning Approach"
QoS analysis of SDN using Mininet Wifi and Ubuntu
This is my master's thesis project: "QoS implementation in Software Defined Network using Ryu Controller"
Synthetic experiments for SDN QoS multiplexing project used in INFOCOM'21 paper
Shortest path experiment of SDN, using RYU as controller and mininet. The topology is a simple fat tree.
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
TensorFlow implementations of Graph Neural Networks
Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
Application of reinforcement learning to Optimize transportation routes using reinforcement learning
RPL for {Linux, LWIP, Embedded OS}. A mesh routing protocol implementation designed to scale, yet resource optimal. Primary factor for optimization is to reduce network control overhead.
Recent trends in networking are proposing the use of Machine Learning (ML) techniques for the control and operation of the network. In this context, ML can be used as a computer network modeling technique to build models that estimate the network performance. Indeed, network modeling is a central technique to many networking functions, for instance
another not very simple fastapi server support video streaming, upload, download, server respone time and latency
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.