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

Artur Pilimon; Angelos Mimidis Kentis; Sarah Renée Ruepp; Lars Dittmann

doi:10.1109/SDS.2018.8370445

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

Artur Pilimon, Angelos Mimidis Kentis, Sarah Renée Ruepp, Lars Dittmann

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

363 Downloads (Pure)

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 language	English
Title of host publication	Proceedings of SDN NFV World Congress 2018
Number of pages	6
Publisher	IEEE
Publication date	2018
Pages	211-216
ISBN (Print)	9781538659007
DOIs	https://doi.org/10.1109/SDS.2018.8370445
Publication status	Published - 2018
Event	Fifth International Conference on Software Defined Systems - Barcelona, Spain Duration: 23 Apr 2018 → 26 Apr 2018

Conference

Conference	Fifth International Conference on Software Defined Systems
Country/Territory	Spain
City	Barcelona
Period	23/04/2018 → 26/04/2018

Keywords

Data Center
SDN
Traffic Engineering

Access to Document

10.1109/SDS.2018.8370445

FulltextAccepted author manuscript, 1.08 MB

OpenUrl availability

Full text

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",

note = "Fifth International Conference on Software Defined Systems, SDS 2018 ; Conference date: 23-04-2018 Through 26-04-2018",

}

TY - GEN

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

AU - Pilimon, Artur

AU - Kentis, Angelos Mimidis

AU - Ruepp, Sarah Renée

AU - Dittmann, Lars

PY - 2018

Y1 - 2018

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.

KW - Data Center

KW - SDN

KW - Traffic Engineering

U2 - 10.1109/SDS.2018.8370445

DO - 10.1109/SDS.2018.8370445

M3 - Article in proceedings

SN - 9781538659007

SP - 211

EP - 216

BT - Proceedings of SDN NFV World Congress 2018

PB - IEEE

T2 - Fifth International Conference on Software Defined Systems

Y2 - 23 April 2018 through 26 April 2018

ER -

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

Abstract

Conference

Keywords

Access to Document

OpenUrl availability

Fingerprint

Cite this