Open Source Linux Network Simulators - Page 2

Network Simulators for Linux

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  • 1
    DSR-UU is an implementation of the Dynamic Source Routing protocol that runs in the Linux kernel or in the ns-2 network simulator. It was originally created at Uppsala University, hence the UU.
    Downloads: 0 This Week
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  • 2
    DYMOUM is an implementation of the DYMO (Dynamic Manet On-demand) routing protocol both for Linux kernel and ns2 network simulator, written in C and C++.
    Downloads: 0 This Week
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  • 3
    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.
    Downloads: 0 This Week
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  • 4
    A Graphical Editor and Animator for the ns-2 Network Simulator.
    Downloads: 0 This Week
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  • 5
    GNS-3 LiveUSB (fork)

    GNS-3 LiveUSB (fork)

    GNS3 Network simulator Live USB

    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.
    Downloads: 0 This Week
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  • 6

    ICN Simulator

    An ICN Simulator based on the Blackadder paltform.

    This is a basic implementation of an Information-Centric Network simulator, following the architecture suggested by Blackadder. It was by the University of Essex for the needs of the PAL project and it include Publishers, Subscribers, RV and a Topology Manager.
    Downloads: 0 This Week
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  • 7

    Instalador de NS2-TCPLAB

    Script to install Network Simulator 2

    Script to install Network Simulator 2 with the compiler version gcc-4.6 on Ubuntu 12.04
    Downloads: 0 This Week
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  • 8
    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.
    Downloads: 0 This Week
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  • 9

    JSensor

    high performance computing, Wireless Sensors Networks Simulators

    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.
    Downloads: 0 This Week
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  • 10
    An educational network simulator.
    Downloads: 0 This Week
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  • 11
    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
    Downloads: 0 This Week
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  • 12
    Liowsn Project

    Liowsn Project

    Remastered operating system for WSN

    Liowsn (Linux for works with WSN) was created to assist teachers, students and people involved with projects of Wireless Sensor Network (WSN). The operating system is Ubuntu 9.10 remastered and it contains several tools for simulation and testing installed to work with WSN. Discussion Group: http://groups.google.com/group/liowsn-users User manual: https://dl.dropbox.com/u/4912938/LiowsnManual_EN.pdf (English Version) https://dl.dropbox.com/u/4912938/LiowsnManual_PT.pdf (Portuguese Version)
    Downloads: 0 This Week
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  • 13
    Mangrovia is a tool for automatic complex multilayer topology generation in a compatible format with Network Simulator 2 (ns-2). Based on specs (in xml format), software creates an otcl script. Users can set Bandwidths, Distances, Linking Policies.
    Downloads: 0 This Week
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  • 14
    Network Controlled Systems (NCS) and transport co-design for network simulator NS2.
    Downloads: 0 This Week
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  • 15
    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).
    Downloads: 0 This Week
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  • 16
    NS2 Linux is dedicated to improve the Network Simulator (NS-2) to match Linux performance. Planned contents include: an NS-2 module that runs Linux congestion control functions, tutorials on how to run NS-2 to match Linux performance, benchmark for TCP.
    Downloads: 0 This Week
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  • 17
    Design and implementation of the Observation-based Cooperation Enforcement in Mobile Ad-hoc Networks (OCEAN) protocol, on top of the ns2 network simulator, using Dynamic Source Routing (DSR).
    Downloads: 0 This Week
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  • 18
    This projects goal is to develop a WiMAX module for the NS-MIRACLE library for the network simulator NS-2.
    Downloads: 0 This Week
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  • 19

    NS3 QoE Monitor

    QoE Monitor allows NS3 users to evaluate QoE in simulated environments

    QoE Monitor is an open-source software module for Network Simulator 3 (NS-3), usable to perform Quality-of-Experience (QoE) evaluations of multimedia communications in simulative networks. More in detail, it is able to assess the user perceived quality of audio and/or video multimedia streams. Its design has been inspired by EvalVid (link to http://www.tkn.tu-berlin.de/menue/research/evalvid/). QoE Monitor is currently developed by the Networking Research group of University of Modena and Reggio Emilia (http://www.unimore.it/). List of currently available features: - PSNR/SSIM computation for H.264 video transmission - G.711 audio transmission - Basic RTP emulation - Receiver side jitter estimation, according to RFC 3550 To do: - support new audio and video codecs - support new audio and video formats - develop objective audio evaluation metric(s) Update 02/27/2013: The latest archive has been updated to include some new features.
    Downloads: 0 This Week
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  • 20
    The goal of the Narses project is to build a scalable, application-level network simulator that allows experimenters to use network models of varying degrees of accuracy and speed to efficiently simulate large distributed applications.
    Downloads: 0 This Week
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  • 21
    A network simulator written in flash. Build up a topolog and send packets throught your network, see and inspect them as they travel, change the headers and observe such protocols as ARP and switch learning.
    Downloads: 0 This Week
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  • 22
    The goal of this project is to be an improvement of the original Network Animator (NAM) module provided as part of the Network Simulator 2 (NS2). This tool provides topology visualization, TCL script generation, and enhanced simulation animation.
    Downloads: 0 This Week
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  • 23

    NeuronalLab

    Backpropagation Network Simulator in C++

    This is a application for simula Neuronals Networks, now only support the Backpropagation Network. In the future maybe support ART, Adaline, Madaline, and other Neuronal Networks. Use gnuplot to draw the lms error.
    Downloads: 0 This Week
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  • 24
    NsGraph is a graphic user interface for modelling and automated generation of scripts for Network Simulator.
    Downloads: 0 This Week
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  • 25
    OSXtlearn

    OSXtlearn

    OSXtlearn: tlearn for MacOSX

    tlearn is a backpropagation neural network simulator, written by Jeff Elman. xtlearn is a version of tlearn for the X Window System. OSXtlearn is xtlearn wrapped in a MacOSX application bundle that runs ons MacOSX 10.5 or higher and that requires XQuartz. OSXtlearn is created by Harm Brouwer.
    Downloads: 0 This Week
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