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
☆34Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for SDN-TMprediction
- Prediction-Based Dual-Weight Switch Migration Scheme for SDN Load Balancing☆9Updated 2 years ago
- ☆14Updated 2 years ago
- SDN traffic matrix prediction with LSTM☆12Updated 2 years ago
- This project is about the undergraduate thesis, the main idea is about route allocation algorithm.☆10Updated 4 years ago
- ☆37Updated 3 years ago
- Multi-path load balancing is a method used by most of the real-time network to split the packets into different paths rather than transfe…☆18Updated 11 months ago
- CFR-RL: Traffic Engineering with Reinforcement Learning in SDN☆49Updated 3 years ago
- DRL-M4MR: An intelligent multicast routing approach based on DQN deep reinforcement learning in SDN☆45Updated 2 years ago
- Multi objective optimization-based routing algorithm for SDN networks☆17Updated 4 years ago
- Software Defined Networking, Network Slicing, Traffic Classification, Flow Scheduling, Mininet, RYU.☆9Updated 2 years ago
- This project is an implementation of Dijkstra Algorithm utilizing Ryu Controller and mininet for routing packets in network topologies.☆19Updated 3 years ago
- TareqTayeh / AROM-DRL_Adaptive-Routing-Optimization-for-QoS-aware-SDNs-using-Deep-Reinforcement-LearningThe purpose of this project is to introduce an Adaptive RO Model for QoS-aware SDNs using DRL that dynamically considers various QoS para…☆50Updated 3 years ago
- ☆20Updated 4 years ago
- Shortest path experiment of SDN, using RYU as controller and mininet. The topology is a simple fat tree.☆13Updated 5 years ago
- This project is created using Ryu controller which performs DIJKSTRA algorithm to find best paths, based on traffic flowing through links…☆11Updated 3 years ago
- ☆28Updated 4 years ago
- MasterThesis on Congestion Detection in SDN networks using Machine Learning☆15Updated 6 years ago
- create a application for SDN QoS routing, use the traditional method (shortest path or ECMP) for primary routing, when congestion happene…☆33Updated 3 years ago
- Analysis of ECMP and SDN in Data Center Networks for Multipath Routing☆9Updated 8 years ago
- ☆9Updated 6 years ago
- a-deep-rl-approach-for-sdn-routing-optimization: with actor-critic algorithms☆21Updated 5 years ago
- Code for DRL-OR-S on TPDS 2023☆17Updated last year
- routing-implementation in SDN based on switch processing delay and remaining bandwidth☆19Updated 2 years ago
- Mininet Flow Generator☆17Updated 6 years ago
- ☆47Updated 3 years ago
- Reinforcement Learning (RL)-based routing algorithm for SDN networks created from scratch using Python.☆21Updated 2 years ago
- IntelligentProbing is based on the Knowledge-Defined Networking (KDN) \cite{mestres_2017:KDN} paradigm that allows to apply Machine Learn…☆9Updated 4 years ago
- ☆15Updated 6 years ago
- SDN Ryu controller with Load Balancing and dynamic routing☆17Updated 4 years ago
- sdn routing based on reinforcement learning☆24Updated 9 years ago