Anderson Paschoalon


Experienced software developer specializing in C/C++, embedded systems, and desktop applications. Master's degree holder and researcher with a focus on network technologies. Enthusiast Deep Learning and Game Modding.

Towards a Flexible and Extensible Framework for Realistic Traffic Generation on Emerging Networking Scenarios

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Abstract: New emerging technologies have a larger unpredictability, compared to legacy equipment. They require a larger set of meaningful tests on many different scenarios. But, in the open source world is hard to find a single tool able to provide realism, speed, easy usage and flexibility at the same time. Most of the tools are monolithic and devoted to specific purposes. This work presents a flexible and extensible framework which aims to decouple synthetic traffic modelling from its traffic generator engine. Through a new abstraction layer, it would become possible to use modern and throughput optimized tools to create realistic traffic, in an automated way. This enables a platform agnostic configuration and reproduction of complex scenarios via analytical models. Also we use pcap files and live-capture to create “Compact Trace Descriptors”.

Published in: IX DCA/FEEC/University of Campinas (UNICAMP) Workshop (EADCA)

Date of Publication: 29 September 2016

Publisher: Departament of Computing Enginiering and Automation (DCA) – UNICAMP

BibTeX:

@misc{paschoal83:online,
author = {Anderson dos Santos Paschoalon , Christian Esteve Rothenberg},
title = {Towards a Flexible and Extensible Framework for Realistic Traffic Generation on Emerging Networking Scenarios},
howpublished = {\url{https://www.fee.unicamp.br/sites/default/files/departamentos/dca/eadca/eadcaix/artigos/paschoalon_rothenberg.pdf}},
month = {September},
year = {2016},
note = {(Accessed on 07/13/2022)}
}