Open Source Linux Network Simulators

Build, Design and Test your network in a risk-free virtual environment and access the largest networking community to help. Whether you are studying for your first networking exam or building out a state-wide telecommunications network, GNS3 offers an easy way to design and build networks of any size without the need for hardware.

For new versions, check https://github.com/Darkkey/javaNetSim javaNetSim (Java Network Simulator) - it's a fork of a project jFirewallSim. The main goal of javaNetSim is creating a software to simulate various TCP/IP networks based on Ethernet, WiFi, PPP, etc...

The program Virtual Network Simulator for Web 2.0 is a tool that allows the simulation of assembly and configuration of computer network projects, virtual or physical. It also simulate the sending of a package between the hots of origin and destinati

Graphical Network Simulator-3 is a network software emulator first released in 2008. It allows the combination of virtual and real devices, used to simulate complex networks. It uses Dynamips emulation software to simulate Cisco IOS.

iSNS is an interactive neural network simulator written in Java/Java3D. The program is intended to be used in lessons of Neural Networks. The program was developed by students as the software project at Charles University in Prague.

UM-OLSR is an OLSR (Optimized Link State Routing protocol) implementation for the ns2 network simulator.

This is a network simulator. This is meant to be user friendly as well as feature rich. This field lacks software with good user interface. Even the commercial softwares in this field is quite lame. This aimed to go along Multisim(R) and Blender(R) form

The Common Open Research Emulator (CORE) is a tool for emulating networks on one or more machines. You can connect these emulated networks to live networks. CORE consists of a GUI for drawing topologies of lightweight virtual machines, and Python modules for scripting network emulation.

How can we analyze the water quality of a river? How can we monitor streets, cities, provinces of a country? How can we predict and prevent problems coming from earthquakes, snowstorms, fire spreads and all kinds of natural disasters? How can we test some new drugs without using animals? These and many other problems are initially solved by using simulators. It is extremely expensive, and sometimes dangerous, to test initial ideas in a real environment. We must use simulators to achieve comfortable confidence levels before real tests. This way, we develop simulation models where entities, named sensors, collect environment data, process data, communicate, move around the space and a lot more. JSensor is a sensor network simulator implemented at Computer Science Department of Federal University of Ouro Preto (DECOM-UFOP), Brazil. In contrast to JSensor counterparts, it is designed to simulate millions of sensors in multicore and, in near future, multicomputer architectures.

Netsim is a mobile ad hoc network simulator targeted at large heterogeneous node configurations. It is written in Java and is easily extensible through its modular concept.

SGsim is a co-simulation framework consists mainly of the network simulator OMNeT++ and the power grid simulator OpenDSS. Abdalkarim Awad, Peter Bazan and Reinhard German, "SGsim: a Simulation Framework for Smart Grid Applications," Proceedings of the IEEE International Energy Conference, Dubrovnik, Croatia, pp. 730-736, May 2014

BlueHoc is an open source Bluetooth technology simulator. It simulates the baseband and link layers of the Bluetooth specifications.

This project is based on a personal effort for researches on dynamics of coevovling networks. As a physicist, I am trying to build a framework for discrete-time dynamics of general networks, and its software libraries with APIs.

This project deals with the implementation of a Fisheye State Routing (FSR) module for the network simulator ns-2. It can be integrated into ns-2 to simulate mobile ad hoc networks using FSR for routing data packets.

Network Controlled Systems (NCS) and transport co-design for network simulator NS2.

The NS-Mapper ad-hoc scenario editor is improved and extended by adding more realistic strategies, such as random based node placement, movement and traffic to the ad-hoc simulation of the Network Simulator 2 (NS-2).

The DV-Hop, Amorphous, Centroid and APIT source code for NS2. Please reference this work as follows: A. Pineda-Briseño, R. Menchaca-Mendez, E. Chavez, G. Guzman, R. Menchaca-Mendez, R. Quintero, M. Torres, M. Moreno, and J. L. Diaz-De-Leon. "A Probabilistic Approach to Location Estimation in MANETs." Ad Hoc & Sensor Wireless Networks, vol. 28, no. 1-2, pp. 97-114, 2015.

SGsim is a co-simulation framework consists mainly of the network simulator OMNeT++ and the power grid simulator OpenDSS. Related Publications: Abdalkarim Awad, Peter Bazan and Reinhard German, " A Short Tutorial On Using SGsim Framework For Smart Grid Applications" Proceedings of the 10th EAI on Performance Evaluation Methodologies and Tools 2016, Taormina, Italy, pp.1-6, October 2016 Abdalkarim Awad, Peter Bazan and Reinhard German, " Co-Simulation-Based Evaluation of Volt-VAR Control," IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), Ljubljana, Slovenia, pp. 1-6, October 2016 Abdalkarim Awad, Peter Bazan and Reinhard German, "SGsim: Co-Simulation Framework for ICT-Enabled Power Distribution Grids," (MMB & DFT 2016), Münster, Germany, pp. 5-8, April 2016 Abdalkarim Awad, Peter Bazan and Reinhard German, "SGsim: a Simulation Framework for Smart Grid Applications," Proceedings of the IEEE International Energy Conference (ENERGYCON 2014), Dubrovnik, Croatia.

Deploys a secure VPC on AWS with public/private subnets using Terraform. This tool provides a calculator and generator for AWS VPC Terraform configurations. It allows you to quickly scaffold a secure VPC with multiple subnets. Quick Start To use this tool, run the generator: bash # Generate a VPC with 3 subnets python lab_runner.py vpc-gen --cidr 10.10.0.0/16 --subnets 3 --output my_vpc.tf

Yans is a extensible, mixed-level, Monte-Carlo Method based, discrete event network simulator. Yans is divided into interacting layers, namely: core, topology, nodes, monitors; and is driven by a config-file that describes the setup of the network.

This is an implementation of the Granular Neural Network architecture defined by S. Dick, A. Tappenden, C. Badke, O. Olarewaju. It is provided for the use of the public, and the convenience of researchers who may wish to develop or use this new system.

AHANNS enables the user to create and train artificial neural networks. Training is carried out by an implementation of back propagation learning algorithm. See the documentation for details. This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

AWNetS(Aibear Wireless Network Simulator)is a C++ written,fire-new discrete-event wireless network simulator which integrates network and communication simulations.It also focuses on various kinds of wireless networks including satellite and HAP.

Implemetaion the protocol AntHocNet in Network Simulator 2 (NS-2)

In an optical network scenario which consists of multiple nodes (whiteboxes) at its edges and ROADMs in-between, the coherent transceiver average laser configuration time is improved. The process is evaluated according to a testbed setup. This is facilitated in the appropriate lab equipment (or via simulation when required). For that purpose, a software agent (Netconf server) residing at the whiteboxes, is developed receiving input from the Software-Defined Networking (SDN) packet controller (PacketCTL - a Netconf client). Then, configuration of the local transceiver laser frequencies of the controlled pluggable devices takes place, for facilitating the connectivity in-between the ROADM network. Also, the agent records and reports back telemetry data (feedback) which is used by the PacketCTL's resource-allocating mechanism to improve efficiency within the network topology.