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Network Simulator Tools and GPU Parallel Systems

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TLDR
A design of parallel module that interconnects with a network simulator, while maintaining transparency in aspect of the simulation modeler is introduced, to obtain faster simulations.
Abstract
In this paper we discuss the possibilities for parallel implementations of network simulators Specifically we investigate the options for porting parts of the simulator on GPU in order to utilize its resources and obtain faster simulations We discuss few issues which are unsuitable for the GPU architecture, and we propose a possible work around for each of them We introduce a design of parallel module that interconnects with a network simulator, while maintaining transparency in aspect of the simulation modeler

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Proceedings ArticleDOI

Program tools and language for Network simulation and analysis

A. Mikov, +1 more
TL;DR: In this paper, the authors consider software tools and linguistic constructions of the network simulator TRIADNS and discuss approaches allowing to decide the problems mentioned above: hierarchical model, using ontologies and Data Mining methods for the analyses of simulation results, using several computing nodes for computer network simulation.
Proceedings ArticleDOI

Speeding up Mobile Delay-Tolerant-networks simulations with CUDA-based event generator

TL;DR: Using external event feeding which is generated by CUDA-based generator, the simulation process can be shorten in more than 400 times faster compared to standard mobility-feeding simulation.
Journal ArticleDOI

Fuzzy and Parallel Enhanced Congestion Detection and Avoidance for Multiple Class of Traffic in Wireless Network

TL;DR: A protocol named FPECODA for Mobile Ad hoc Network is proposed, which uses the GPU for parallel version of algorithm for finding the Dynamic Priority of packets, sorting algorithm etc, and also applies the fuzzy logic for rate control of node.
References
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The omnet++ discrete event simulation system

TL;DR: OMNeT++ is fully programmable and modular, and it was designed from the ground up to support modeling very large networks built from reusable model components.
Book

Introduction to Parallel Computing

Vipin Kumar
TL;DR: Message Passing Interface, POSIX threads and OpenMP have been selected as programming models and the evolving application mix of parallel computing is reflected in various examples throughout the book.
Proceedings ArticleDOI

GloMoSim: a library for parallel simulation of large-scale wireless networks

TL;DR: The paper describes the GloMoSim library, addresses a number of issues relevant to its parallelization, and presents a set of experimental results on the IBM 9076 SP, a distributed memory multicomputer.
Proceedings ArticleDOI

A Performance Comparison of Recent Network Simulators

TL;DR: A performance comparison study by implementing an identical simulation set-up in five simulators, namely ns-2, OMNet++, ns-3, SimPy and JiST/SWANS reveals large differences according to both run-time performance and memory usage.
Proceedings ArticleDOI

The Georgia Tech Network Simulator

TL;DR: This work introduces a new network simulation environment, developed by the research group, called the Georgia Tech Network Simulator (GTNetS), designed specifically to allow much larger-scale simulations than can easily be created by existing network simulation tools.
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