dharshan-kumar-ks / Multipath-Load-BalancingLinks
Multi-path load balancing is a method used by most of the real-time network to split the packets into different paths rather than transferring it through a single path
☆23Updated last year
Alternatives and similar repositories for Multipath-Load-Balancing
Users that are interested in Multipath-Load-Balancing are comparing it to the libraries listed below
Sorting:
- ☆15Updated 2 years ago
- This project is about the undergraduate thesis, the main idea is about route allocation algorithm.☆10Updated 5 years ago
- Prediction-Based Dual-Weight Switch Migration Scheme for SDN Load Balancing☆10Updated 3 years ago
- create a application for SDN QoS routing, use the traditional method (shortest path or ECMP) for primary routing, when congestion happene…☆38Updated 3 years ago
- Mininet SDN based experiments on load balancing and improving server response times☆30Updated 4 years ago
- This project is an implementation of Dijkstra Algorithm utilizing Ryu Controller and mininet for routing packets in network topologies.☆23Updated 3 years ago
- SDN Ryu controller with Load Balancing and dynamic routing☆20Updated 5 years ago
- Shortest path experiment of SDN, using RYU as controller and mininet. The topology is a simple fat tree.☆15Updated 5 years ago
- The work in paper "An AI-based Traffic Matrix Prediction Solution for Software-Defined Network" - Duc-Huy LE, Hai Anh TRAN, Sami SOUIHI, …☆40Updated 3 years ago
- ☆38Updated 3 years ago
- ☆16Updated 7 years ago
- This project is created using Ryu controller which performs DIJKSTRA algorithm to find best paths, based on traffic flowing through links…☆15Updated 3 years ago
- CFR-RL: Traffic Engineering with Reinforcement Learning in SDN☆58Updated 3 years ago
- ☆21Updated 5 years ago
- MasterThesis on Congestion Detection in SDN networks using Machine Learning☆15Updated 7 years ago
- routing-implementation in SDN based on switch processing delay and remaining bandwidth☆21Updated 5 months ago
- IntelligentProbing is based on the Knowledge-Defined Networking (KDN) \cite{mestres_2017:KDN} paradigm that allows to apply Machine Learn…☆9Updated 5 years ago
- DRL-M4MR: An intelligent multicast routing approach based on DQN deep reinforcement learning in SDN☆62Updated 7 months 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…☆59Updated 4 years ago
- Sway: Traffic-Aware QoS Routing in Software-Defined IoT☆16Updated 6 years ago
- This repository describes the demonstration of encrypted network traffic classification in SDN environment. A testbed is created using Mi…☆24Updated 2 years ago
- Analysis of ECMP and SDN in Data Center Networks for Multipath Routing☆9Updated 8 years ago
- Multi objective optimization-based routing algorithm for SDN networks☆20Updated 4 years ago
- Software Defined Networking, Network Slicing, Traffic Classification, Flow Scheduling, Mininet, RYU.☆9Updated 3 years ago
- ☆56Updated 4 years ago
- A simple load balancing controller that utilizes the Ryu SDN framework to program a network switch.☆17Updated 7 years ago
- sdn routing based on reinforcement learning☆25Updated 10 years ago
- ☆11Updated 7 months ago
- PureSDN routing application for FatTree network.☆39Updated last year
- Software Defined Network traffic classification☆21Updated 4 years ago