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Framework for Traffic Engineering of SDN Data Paths
Advances in Applied Sciences
Volume 1, Issue 2, October 2016, Pages: 37-45
Received: Sep. 15, 2016; Accepted: Sep. 26, 2016; Published: Oct. 15, 2016
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Author
Lucio Agostinho Rocha, Department of Software Engineering, Federal University of Technology, UTFPR (Universidade Tecnológica Federal do Paraná), Dois Vizinhos, Brazil
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Abstract
Software Defined Networking (SDN) is an approach to the deployment of future network infrastructures. SDN allows deal with different configurations to a crescent amount of virtualized network devices. In this paper, we offer a framework to support a number of network configurations through computational modeling and deployment of data paths between physical hosts for SDN. Computational modeling is a feasible alternative to measure and analyze the most diverse computational problems before its prototyping. We develop the toolset called Mini-TE (Mini-Traffic Engineering) to perform traffic engineering over computational models of data center topologies, and to set data paths before submission of data streams. As a consequence, Mini-TE contributes to reduce the operating expense to discover routes among hosts of data centers. We want to evaluate the effectiveness of our methodology by using Mininet through a set of experiments.
Keywords
SDN, OpenFlow, Network Management, Network Architecture, Scalability
To cite this article
Lucio Agostinho Rocha, Framework for Traffic Engineering of SDN Data Paths, Advances in Applied Sciences. Vol. 1, No. 2, 2016, pp. 37-45. doi: 10.11648/j.aas.20160102.13
Copyright
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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