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A Traffic Generator for NEAT
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.
Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Computer Science. Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. (Distributed Systems and Communications Research Group (DISCO))ORCID iD: 0000-0003-4147-9487
2016 (English)Report (Other academic)
Abstract [en]

Ossication is one of the most serious problem facing the future of the Internet. The most commonly used protocols today can not keep up with the increasing demand for better network performance of the next generation of applications. New transport protocols have a hard time replacing the outdated ones. Even well-know protocols such as SCTP and DCCP have failed to become anything but niche protocols on the Internet. To solve this problem a new transport system, NEAT, is currently under development.

There is limited opportunities to evaluate NEAT in practice. Before this project, there was no trac generator that supports NEAT which would help with evaluation during the development process. This project implements the NEAT transport system onto D-ITG, an existing open source trac generator. D-ITG has many features that can be of use when evaluating NEAT, such as advanced logging and simulation of many dierent applications trac signatures.

Place, publisher, year, edition, pages
Karlstad: Karlstad University Press , 2016. , 17 p.
Keyword [en]
d-itg, traffic generator, neat
National Category
Telecommunications
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-47532ISBN: 978-91-7063-743-8 (print)OAI: oai:DiVA.org:kau-47532DiVA: diva2:1058049
Available from: 2016-12-20 Created: 2016-12-20 Last updated: 2017-03-23Bibliographically approved

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