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Controller placement optimization for Software Defined Wide Area Networks (SDWAN)

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dc.contributor.author Mamushiane, Lusani
dc.contributor.author Mwangama, J
dc.contributor.author Lysko, Albert A
dc.date.accessioned 2021-05-04T09:28:42Z
dc.date.available 2021-05-04T09:28:42Z
dc.date.issued 2021-03
dc.identifier.citation Mamushiane, L., Mwangama, J. & Lysko, A.A. 2021. Controller placement optimization for Software Defined Wide Area Networks (SDWAN). <i>ITU Journal on Future and Evolving Technologies, 2(1).</i> http://hdl.handle.net/10204/12005 en_ZA
dc.identifier.issn 2616-8375
dc.identifier.uri http://hdl.handle.net/10204/12005
dc.description.abstract Software Defined Networking (SDN) has emerged as a promising solution to revolutionize network deployment, operations and economic growth. This paradigm aims to address management and configuration complexities in legacy networks so as to reduce the total cost associated with deploying and running telecommunication infrastructures. At the heart of SDN is a controller which oversees orchestration of resources. An important problem that must be addressed during the initial design of an SDN-based network deployment is to find the optimal number of controllers and their locations, to achieve desired operational efficiency. This problem constitutes competing objectives such as latency, load balancing, and reliability. We apply Silhouette Analysis, Gap statistics and the Partition Around Medoids (PAM) algorithms and, unlike previous works, we add a new method for solving the controller placement problem using an emulation orchestration platform. Our approach aims to optimize controller-to-node latency, alleviate control plane signaling overhead and ensure control plane resiliency. Our results for South African national research network (SANReN) reveal that deploying two controllers yields lowest latency, reduces control plane signaling overhead and guarantees control plane resiliency. Our approach can be used by network operators as a guideline to start integrating SDN or plan a new SDN deployment, by helping them make quick automatic decisions regarding optimal controller placement. en_US
dc.format Fulltext en_US
dc.language.iso en en_US
dc.relation.uri https://www.itu.int/dms_pub/itu-s/opb/itujnl/S-ITUJNL-JFETS.V2I1-4-2021-PDF-E.pdf en_US
dc.relation.uri http://handle.itu.int/11.1002/pub/81817c9b-en en_US
dc.source ITU Journal on Future and Evolving Technologies, 2(1) en_US
dc.subject Controller placement en_US
dc.subject Gap statistics en_US
dc.subject Partition Around Medoids en_US
dc.subject Software Defined Networks en_US
dc.subject SDN en_US
dc.subject South African National Research and Education Network en_US
dc.subject SANReN en_US
dc.title Controller placement optimization for Software Defined Wide Area Networks (SDWAN) en_US
dc.type Article en_US
dc.description.pages 21pp en_US
dc.description.note ©International Telecommunication Union, 2021. This work is available under the CC BY-NC-ND 3.0 IGO license: https://creativecommons.org/licenses/by-nc-nd/3.0/igo/ en_US
dc.description.cluster NextGen Enterprises and Institution en_US
dc.description.impactarea Cloud & Network Architectures en_US
dc.description.impactarea Spectrum Access & Mngmt Innova
dc.identifier.apacitation Mamushiane, L., Mwangama, J., & Lysko, A. A. (2021). Controller placement optimization for Software Defined Wide Area Networks (SDWAN). <i>ITU Journal on Future and Evolving Technologies, 2(1)</i>, http://hdl.handle.net/10204/12005 en_ZA
dc.identifier.chicagocitation Mamushiane, Lusani, J Mwangama, and Albert A Lysko "Controller placement optimization for Software Defined Wide Area Networks (SDWAN)." <i>ITU Journal on Future and Evolving Technologies, 2(1)</i> (2021) http://hdl.handle.net/10204/12005 en_ZA
dc.identifier.vancouvercitation Mamushiane L, Mwangama J, Lysko AA. Controller placement optimization for Software Defined Wide Area Networks (SDWAN). ITU Journal on Future and Evolving Technologies, 2(1). 2021; http://hdl.handle.net/10204/12005. en_ZA
dc.identifier.ris TY - Article AU - Mamushiane, Lusani AU - Mwangama, J AU - Lysko, Albert A AB - Software Defined Networking (SDN) has emerged as a promising solution to revolutionize network deployment, operations and economic growth. This paradigm aims to address management and configuration complexities in legacy networks so as to reduce the total cost associated with deploying and running telecommunication infrastructures. At the heart of SDN is a controller which oversees orchestration of resources. An important problem that must be addressed during the initial design of an SDN-based network deployment is to find the optimal number of controllers and their locations, to achieve desired operational efficiency. This problem constitutes competing objectives such as latency, load balancing, and reliability. We apply Silhouette Analysis, Gap statistics and the Partition Around Medoids (PAM) algorithms and, unlike previous works, we add a new method for solving the controller placement problem using an emulation orchestration platform. Our approach aims to optimize controller-to-node latency, alleviate control plane signaling overhead and ensure control plane resiliency. Our results for South African national research network (SANReN) reveal that deploying two controllers yields lowest latency, reduces control plane signaling overhead and guarantees control plane resiliency. Our approach can be used by network operators as a guideline to start integrating SDN or plan a new SDN deployment, by helping them make quick automatic decisions regarding optimal controller placement. DA - 2021-03 DB - ResearchSpace DP - CSIR J1 - ITU Journal on Future and Evolving Technologies, 2(1) KW - Controller placement KW - Gap statistics KW - Partition Around Medoids KW - Software Defined Networks KW - SDN KW - South African National Research and Education Network KW - SANReN LK - https://researchspace.csir.co.za PY - 2021 SM - 2616-8375 T1 - Controller placement optimization for Software Defined Wide Area Networks (SDWAN) TI - Controller placement optimization for Software Defined Wide Area Networks (SDWAN) UR - http://hdl.handle.net/10204/12005 ER - en_ZA
dc.identifier.worklist 24340 en_US


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