Qiandking

Qiandking's Stars

• seanniu93/ns3-routing

  Forked from https://github.com/snlab/cs433

  Language:C++62

• hust-diangroup/ns3-ai

  Enable the interaction between ns-3 and popular frameworks using Python, which mean you can train and test your AI algorithms in ns-3 without changing any frameworks you are using now!

  Language:C++23383

• BigBaz54/MM1K_queueing_model

  Language:Python1

• parvez018/ns2-alim

  A set of scripts to simulate network traffic in ns2-simulator and analyze the network performance under variable circumstances.

  Language:Tcl1

• amarjitdhillon/Performance-Analysis-of-TCP-Variants-and-Routing-Protocols-Using-NS2-Simulations

  Routing in an Ad-hoc network is a challenging task because source and destination nodes are mobile and thus routing decisions are to be changed dynamically when link failure or packet delay is encountered. As TCP protocols were initially designed for wired networks, so they are not able to deliver optimized performance, in the case of ad-hoc networks. For ensuring a reliable transfer, various variants of TCP must be used such as TCP-Reno, TCP-Vegas, TCP-Westwood, TCP-New Reno, TCP-Tahoe, TCP-Sack etc. Mobile ad-hoc network is a decentralized network consisting of various mobile nodes. Challenges in MANETS routing includes lack of apriori knowledge of underlying topology, which requires using the adaptive protocol to tackle route failures and packet loss scenarios.

  Language:Tcl95

• Subangkar/NS2-Network-Simulation-Project-BUET

  Network simulation project in ns2 of Ethernet-Wired-802.3, IEEE 802.15.4, Satellite, Wired-Wireless-802.11 cross network as part of an assignment of Computer Networking lab course of CSE, BUET.

  Language:C++134

• Subangkar/Satellite-Network-Simulation-ns2

  A simple network simulation in ns2 of Satellite network measuring performance metrics like measuring performance metrics like total energy consumption, throughput, packet transfer ratio and average end-to-end delay with respect to variation in number of nodes and also AverageDelay with respect to variation in altitude has been measured and plotted in graph using gnuplot.

  Language:Tcl61

• TL-System/FlowSim

  Flow level simulation

  Language:Python1213

• duchuyle108/SDN-TMprediction

  The work in paper "An AI-based Traffic Matrix Prediction Solution for Software-Defined Network" - Duc-Huy LE, Hai Anh TRAN, Sami SOUIHI, Abdelhamid MELLOUK

  Language:Jupyter Notebook3211

• yuzhenfeng2002/Multi-Commodity-Network-Flow

  Using Dantzig-Wolfe (DW) decomposition algorithm to solve MCNF(Multi Commodity Network Flow) problem. Final project for the course of (large-scale) linear programming.

  Language:Jupyter Notebook163

• LeonSering/multi-commodity-flows-over-time

  Given network and commodity information this tool computes a feasible multi-commodity flow over time.

  Language:Python6

• csp33/networkplanning

  Subject "Network Planning" (VITMAV51) at Budapest University of Technology and Economics. Academic year 2018-2019

  Language:Python2

• kaushikchakraborty9/Routing-via-Multi-Commodity-Flow

  We explore the problem of routing in a quantum internet using multi-commodity flow. In this project, we assume that all of the repeaters are based on atomic ensemble and linear optics. Moreover, we assume that any node in the network can act as an end node as well as a repeater node.

  Language:Python44

• LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

  Solutions of Reinforcement Learning, An Introduction

  Language:Jupyter Notebook2k463

• khuss/RL_Network_Routing

  Language:Python21

• Annongkhanh/Traffic-matrix-prediction

  SDN traffic matrix prediction with LSTM

  Language:Jupyter Notebook123

• xiaohuiduan/network-traffic-predict

  use lstm&svr to predict the network traffic

  Language:Jupyter Notebook3612

• OpenNetLab/gym-example

  An example to use Reinforcement Learning technology on AlphaRTC-Gym training a bandwidth estimator

  Language:Python811

• OpenNetLab/gym

  This gym leverages NS3 and WebRTC, which can be used by reinforcement learning or other methods to build a Bandwidth Controller for WebRTC

  Language:C++4014

• odnh/gnn-routing

  Code for experimenting with load-balancing intradomain traffic engineering using GNNs and RL. Project as part of masters degree at the University of Cambridge.

  Language:Python277

• jcformanek/gnn

  Graph Neural Networks

  Language:Jupyter Notebook1

• yyfhust/q-routing

  Using RL to route packets.

  42

• LukeWood/rl-routing

  Language:Jupyter Notebook94

• GuetYe/DRL-M4MR

  DRL-M4MR: An intelligent multicast routing approach based on DQN deep reinforcement learning in SDN

  Language:Python433

• PKUFlyingPig/cs-self-learning

  计算机自学指南

  Language:HTML56.9k6.8k

• JustinJiaDev/NetworkSimulationAnalysis

  Network Analysis (ECS 152A)

  Language:Python12

• zmvictor/Flow-level-Network-Simulator

  This is an event based flow-level network simulator. It is written in Python for fast prototype implementation.

  Language:Python54

• ippossebon/look-ahead-rl-traffic-routing

  Look-Ahead Reinforcement Learning: network traffic engineering with preventive load balancing

  Language:Python92

• u-topia/SDN-Traffic-engineering

  This project is about the undergraduate thesis, the main idea is about route allocation algorithm.

  Language:Python101

• xuxife/rlrouting

  Reinforcement Learning Algorithm for Packet Routing

  Language:Python101