Open Source Linux Network Simulators - Page 3

Network Simulators for Linux

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  • 1
    The NCTUns is a network simulator and emulator. Each version adheres to only a selected GNU/Linux distribution of fedora (The latest NCTUns 6.0 adhering to fedora 12). We try to port the latest NCTUns 6.0 to Ubuntu 10.04 or later versions.
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  • 2

    Positioning Algorithms

    Positioning Algorithms for Mobile Ad Hoc Networks.

    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.
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  • 3

    Pushloc

    A wireless push-type network simulator.

    A wireless push-type network simulator that considers locality of demand for performance improvement. The network environment consists of multiple directed emitters for parallel data broadcasting. Performance depends on the mean response time of clients.
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  • 4
    QUENAS (QUeued Event Network Automatic Simulator) is a Network Simulator that enables to create a network of nodes and simulate communications between then. Currently, the Hypercube protocol is implemented at network layer.
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  • 5
    A modern and usable interface for the well known neuronal network simulator SNNS. The GUI acts as a client to serveral servers embedding SNNS and supports team work aspects.
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  • 6
    ROOTSNNS is a set of C++ classes which allows one to use the Stuttgart Neural Network Simulator kernel (ansi-C) within the ROOT, a data analysis package. Multiple ANNs can be built, trained, and tested, while results and ANN performance can be saved.
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  • 7
    RooCARDS is a set of C++ classes written for the ROOT analysis framework which interface ROOT to the Stuttgart Neural Network Simulator (SNNS). This interface is based on a concept originally developed by Professor Yibin Pan at the UW-Madison.
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  • 8

    SGsimv2

    smart grid co-simulation

    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.
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  • 9
    SNNSraster is a utility for quick ANN analysis of raster GIS maps with the use of Stuttgart Neural Network Simulator trained network files. It was developed to read and write binary raster files. SNNSraster is a project of the Geography Laboratory of the University of Siena. The code was developed by Giancarlo Macchi Jánica between 2006 and 2007. SNNSraster's fundamental objective is to improve the ability to integrate the use of artificial neural networks in GIS environments.
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  • 10

    SW2PSA

    SW2PSA (Stop & Wait and Sliding Window Protocol Simulator and Animator

    SW2SPA is an educational simulator with animation for network protocols that allow reliable data transfer, specifically developed for the stop and wait protocols, go-back-N and selective repeat. The aim of SW2PSA is to be used as a tool to support the animation of this protocols in a course like data networks, communication protocols or other related, and to include in the course a project that involves the programming of any of these protocols using a very known language as Java. Since it is an open source program also helps the student who wishes to know the structure of a simple discrete event network simulator.
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  • 11

    Secure VPC Network Generator

    Secure VPC Network Generator

    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
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  • 12
    Improved Network Energy Conserving Algorithm based Sensor Network Simulator. The algorithm derives from LEACH and gives better performance.
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  • 13
    An adhoc network simulator that tests multiple transceiver base stations in a peer to peer environment.
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  • 14
    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
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  • 15
    Simured is a multicomputer network simulation whith visual interface to see packet movement on the network. It is multi platform and there are versions in Java and C++.
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  • 16
    WIPsim (Wireless IP Simulator) is a network simulator for all layers of the OSI model. The current version is focussed on dealing with IPv6. The simulator was started to investigate wireless (data) networks and mobility.
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  • 17
    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.
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  • 18
    bns is a network simulator. You can create a complete network, add services to host, ... It can be usefull to study network behavior, make presentations, learn hacking techniques, ...
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  • 19
    A network simulator for IEEE 802.11 WLANs supporting PCF based communications.
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  • 20
    eonsim

    eonsim

    An Elastic Optical Network Simulator

    This software is designed to simulate a WDM gridless and elastic network.
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  • 21

    evotopo

    Evolving Realistic Topologies for Wireless Network Simulation

    There is a need for realistic node topologies for simulating and testing wireless network protocols. The softare evoTopo is able to generate multiple different topologies based on a given reference example, typically from a real-world setup. Based on this an evolutionary algorithm evolves new topology files with equal parameters regarding node density, distribution homogeneity and network properties such as node degree distrbution. evoTopo can be used with any wireless network simulator that will accept a node position file of some form. The reference file must be given in .csv format listing the x- and y-coordinates of the nodes. evoTopo is written in Java and will run on Java 6 or higher. It is released under the GPL v3 license. It comes with reference topology files in .csv format for mesh networks deployed in Berlin, Wien, Leipzig and MIT. See the README file for further information.
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  • 22
    JNS is a Java version of the ns-2 network simulator originally from Berkeley. It allows developers of routing and other network protocols to simulate their protocols under various conditions.
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  • 23
    MILPFlow: An Open Source Project to Simulate VM Placement of Data Centers. Data center network topology simulator with Lingo and network simulator 2 (ns-2)
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  • 24
    niab - Network In A Box. Create a virtual lab network inside one machine. A lab can include routers, firewalls, clients and servers connected by a network specified by you. [Linux Network Simulator, UML, user mode linux]
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  • 25
    The aim of this project is to have a current implementation of the experimental VFER protocol (http://vfer.sf.net) within the ns-2 network simulator. The design of VFER can then be tweaked using results from this simulation.
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