Framework for Traffic Engineering of SDN Data Paths

Lucio Agostinho Rocha

doi:doi:10.11648/j.aas.20160102.13

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Framework for Traffic Engineering of SDN Data Paths

Lucio Agostinho Rocha

Published in Advances in Applied Sciences (Volume 1, Issue 2)

Received: 15 September 2016 Accepted: 26 September 2016 Published: 15 October 2016

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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.

Published in	Advances in Applied Sciences (Volume 1, Issue 2)
DOI	10.11648/j.aas.20160102.13
Page(s)	37-45
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

SDN, OpenFlow, Network Management, Network Architecture, Scalability

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APA Style

Lucio Agostinho Rocha. (2016). Framework for Traffic Engineering of SDN Data Paths. Advances in Applied Sciences, 1(2), 37-45. https://doi.org/10.11648/j.aas.20160102.13

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ACS Style

Lucio Agostinho Rocha. Framework for Traffic Engineering of SDN Data Paths. Adv. Appl. Sci. 2016, 1(2), 37-45. doi: 10.11648/j.aas.20160102.13

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AMA Style

Lucio Agostinho Rocha. Framework for Traffic Engineering of SDN Data Paths. Adv Appl Sci. 2016;1(2):37-45. doi: 10.11648/j.aas.20160102.13

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@article{10.11648/j.aas.20160102.13,
  author = {Lucio Agostinho Rocha},
  title = {Framework for Traffic Engineering of SDN Data Paths},
  journal = {Advances in Applied Sciences},
  volume = {1},
  number = {2},
  pages = {37-45},
  doi = {10.11648/j.aas.20160102.13},
  url = {https://doi.org/10.11648/j.aas.20160102.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aas.20160102.13},
  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.},
 year = {2016}
}

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TY  - JOUR
T1  - Framework for Traffic Engineering of SDN Data Paths
AU  - Lucio Agostinho Rocha
Y1  - 2016/10/15
PY  - 2016
N1  - https://doi.org/10.11648/j.aas.20160102.13
DO  - 10.11648/j.aas.20160102.13
T2  - Advances in Applied Sciences
JF  - Advances in Applied Sciences
JO  - Advances in Applied Sciences
SP  - 37
EP  - 45
PB  - Science Publishing Group
SN  - 2575-1514
UR  - https://doi.org/10.11648/j.aas.20160102.13
AB  - 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.
VL  - 1
IS  - 2
ER  -

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Author Information

Lucio Agostinho Rocha

Department of Software Engineering, Federal University of Technology, UTFPR (Universidade Tecnológica Federal do Paraná), Dois Vizinhos, Brazil

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APA Style

Lucio Agostinho Rocha. (2016). Framework for Traffic Engineering of SDN Data Paths. Advances in Applied Sciences, 1(2), 37-45. https://doi.org/10.11648/j.aas.20160102.13

Copy | Download

ACS Style

Lucio Agostinho Rocha. Framework for Traffic Engineering of SDN Data Paths. Adv. Appl. Sci. 2016, 1(2), 37-45. doi: 10.11648/j.aas.20160102.13

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AMA Style

Lucio Agostinho Rocha. Framework for Traffic Engineering of SDN Data Paths. Adv Appl Sci. 2016;1(2):37-45. doi: 10.11648/j.aas.20160102.13

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@article{10.11648/j.aas.20160102.13,
  author = {Lucio Agostinho Rocha},
  title = {Framework for Traffic Engineering of SDN Data Paths},
  journal = {Advances in Applied Sciences},
  volume = {1},
  number = {2},
  pages = {37-45},
  doi = {10.11648/j.aas.20160102.13},
  url = {https://doi.org/10.11648/j.aas.20160102.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aas.20160102.13},
  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.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Framework for Traffic Engineering of SDN Data Paths
AU  - Lucio Agostinho Rocha
Y1  - 2016/10/15
PY  - 2016
N1  - https://doi.org/10.11648/j.aas.20160102.13
DO  - 10.11648/j.aas.20160102.13
T2  - Advances in Applied Sciences
JF  - Advances in Applied Sciences
JO  - Advances in Applied Sciences
SP  - 37
EP  - 45
PB  - Science Publishing Group
SN  - 2575-1514
UR  - https://doi.org/10.11648/j.aas.20160102.13
AB  - 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.
VL  - 1
IS  - 2
ER  -

Copy | Download