Analysis of Traffic Engineering capabilities for SDN-based Data Center Networks

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

In the recent years more and more existing services have moved from local execution environments into the cloud. In addition, new cloud-based services are emerging, which are characterized by very stringent delay requirements. This trend puts a stress in the existing monolithic architecture of Data Center Networks (DCN), thus creating the need to evolve them. Traffic Engineering (TE) has long been the way of attacking this problem, but as with DCN, needs to evolve by encompassing new technologies and paradigms. This paper provides a comprehensive analysis of current DCN operational and TE techniques focusing on their limitations. Then, it highlights the benefits of incorporating the Software Defined Networking (SDN) paradigm to address these limitations. Furthermore, it illustrates two methodologies and addresses the scalability aspect of DCN-oriented TE, network and service testing, by presenting a hybrid physical-simulated SDN enabled testbed for TE studies.
Original languageEnglish
Title of host publicationProceedings of SDN NFV World Congress 2018
Number of pages6
PublisherIEEE
Publication date2018
Pages211-216
ISBN (Print)9781538659007
DOIs
Publication statusPublished - 2018
EventFifth International Conference on Software Defined Systems - Barcelona, Spain
Duration: 23 Apr 201826 Apr 2018

Conference

ConferenceFifth International Conference on Software Defined Systems
CountrySpain
CityBarcelona
Period23/04/201826/04/2018

Keywords

  • Data Center
  • SDN
  • Traffic Engineering

Cite this

@inproceedings{4c77ba2e24fb48fa8fae63401bdfafcc,
title = "Analysis of Traffic Engineering capabilities for SDN-based Data Center Networks",
abstract = "In the recent years more and more existing services have moved from local execution environments into the cloud. In addition, new cloud-based services are emerging, which are characterized by very stringent delay requirements. This trend puts a stress in the existing monolithic architecture of Data Center Networks (DCN), thus creating the need to evolve them. Traffic Engineering (TE) has long been the way of attacking this problem, but as with DCN, needs to evolve by encompassing new technologies and paradigms. This paper provides a comprehensive analysis of current DCN operational and TE techniques focusing on their limitations. Then, it highlights the benefits of incorporating the Software Defined Networking (SDN) paradigm to address these limitations. Furthermore, it illustrates two methodologies and addresses the scalability aspect of DCN-oriented TE, network and service testing, by presenting a hybrid physical-simulated SDN enabled testbed for TE studies.",
keywords = "Data Center, SDN, Traffic Engineering",
author = "Artur Pilimon and Kentis, {Angelos Mimidis} and Ruepp, {Sarah Ren{\'e}e} and Lars Dittmann",
year = "2018",
doi = "10.1109/SDS.2018.8370445",
language = "English",
isbn = "9781538659007",
pages = "211--216",
booktitle = "Proceedings of SDN NFV World Congress 2018",
publisher = "IEEE",
address = "United States",

}

Pilimon, A, Kentis, AM, Ruepp, SR & Dittmann, L 2018, Analysis of Traffic Engineering capabilities for SDN-based Data Center Networks. in Proceedings of SDN NFV World Congress 2018. IEEE, pp. 211-216, Fifth International Conference on Software Defined Systems, Barcelona, Spain, 23/04/2018. https://doi.org/10.1109/SDS.2018.8370445

Analysis of Traffic Engineering capabilities for SDN-based Data Center Networks. / Pilimon, Artur; Kentis, Angelos Mimidis; Ruepp, Sarah Renée; Dittmann, Lars.

Proceedings of SDN NFV World Congress 2018. IEEE, 2018. p. 211-216.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

TY - GEN

T1 - Analysis of Traffic Engineering capabilities for SDN-based Data Center Networks

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N2 - In the recent years more and more existing services have moved from local execution environments into the cloud. In addition, new cloud-based services are emerging, which are characterized by very stringent delay requirements. This trend puts a stress in the existing monolithic architecture of Data Center Networks (DCN), thus creating the need to evolve them. Traffic Engineering (TE) has long been the way of attacking this problem, but as with DCN, needs to evolve by encompassing new technologies and paradigms. This paper provides a comprehensive analysis of current DCN operational and TE techniques focusing on their limitations. Then, it highlights the benefits of incorporating the Software Defined Networking (SDN) paradigm to address these limitations. Furthermore, it illustrates two methodologies and addresses the scalability aspect of DCN-oriented TE, network and service testing, by presenting a hybrid physical-simulated SDN enabled testbed for TE studies.

AB - In the recent years more and more existing services have moved from local execution environments into the cloud. In addition, new cloud-based services are emerging, which are characterized by very stringent delay requirements. This trend puts a stress in the existing monolithic architecture of Data Center Networks (DCN), thus creating the need to evolve them. Traffic Engineering (TE) has long been the way of attacking this problem, but as with DCN, needs to evolve by encompassing new technologies and paradigms. This paper provides a comprehensive analysis of current DCN operational and TE techniques focusing on their limitations. Then, it highlights the benefits of incorporating the Software Defined Networking (SDN) paradigm to address these limitations. Furthermore, it illustrates two methodologies and addresses the scalability aspect of DCN-oriented TE, network and service testing, by presenting a hybrid physical-simulated SDN enabled testbed for TE studies.

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