sinofeng Goto Github PK

sdn-handbook

SDN手册

sdn-lstm-traffic-prediction

sdn-machinelearning-numberofflowsdetection

MasterThesis on Number of Flows Detection in SDN networks using Machine Learning

sdn-te-sr

SDN based Traffic Engineering and Segment Routing

sdn-te-sr-tools

tools for SDN based Traffic Engineering

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

sdn-traffic-classification

Software Defined Network traffic classification

sdn-traffic-engineering

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

sdn-wise-contiki

The Open Source OS for the Internet of Things meets the Software Defined Networking

sdn_flowidentify

A smart home network management system based on software defined networks

sdn_greedy_scheduling

sdn_load-prediction-and-balancing

基于LSTM的SDN流量预测与负载均衡

sdn_load_balancer

SDN Load Balancer using POX controller, which can be configured to use Round Robin or random scheduling methods.

sdn_scripts

My useful scripts for SDN and Linux

sdn_tc_fs

Software Defined Networking, Network Slicing, Traffic Classification, Flow Scheduling, Mininet, RYU.

sdncongestionaware

Congestion removal in presence of elephant flows

sdnfogedge

Progetto di strumenti per la gestione di architetture fog/edge computing attraverso SDN

sdntrafficclassification

A repository containing all the scripts used in carrying out my project on web-application traffic classification.

sea

SDN

seremas

This repository complements the paper **SeReMAS: Self-Resilient Mobile Autonomous Systems Through Predictive Edge Computing** accepted for publication at IEEE International Conference on Sensing, Communication and Networking 2021.

service-migration-mdp

Code for paper "Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process"

sfctss

SFC TSS - Service Function Chain (SFC) traffic scheduling simulator

shuke

A high performance authority-only dns server implemented with DPDK

simple_ids_using_ryu_sdn_controller_and_machine_learning

Implemented a network intrusion detection system for a software defined network using Random Forest method for classification of port and flow statistics.

softflowd

softflowd: A flow-based network traffic analyser capable of Cisco NetFlow data export software.

stream4flow

A framework for the real-time network traffic analysis based on world-leading technologies for distributed stream processing, network traffic monitoring, and visualization.

swallow

An efficient scheduling system with coflow compression in data-intensive clusters.

task-merging

The code for the paper task merging and scheduling for parallel deep learning applications in mobile edge computing

task-offloading-and-resource-allocation-for-multi-server-mobile-edge-computing-networks

tcp-ip-packet-sniffer

A packet sniffer allows the user to view and capture all the information that is transmitted over the network, as packets of data [I]. The aim of this application is to read packets that travel across various layers of the Transmission Control Protocol/Internet Protocol (TCP/IP) model of network architecture. The packet sniffer, or the network traffic monitoring framework will analyze the network traffic so as to allow users to get a practical understanding of the flow of packets in a network. It will help them gain some insights on the header structures of different protocols, differences between the protocols at different network layers, similarities between the protocols on the same network layer and change in size of the payload as the packet travels through the network stack. It will be used to capture and analyze the following protocols’ header information from the packets: The packets captured will be analyzed to extract and display the header information along with other relevant parameters for the selected protocols.