Mamushiane, LusaniMwangama, JLysko, Albert A2021-05-042021-05-042021-03Mamushiane, 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/10204/120052616-8375http://hdl.handle.net/10204/12005Software 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.FulltextenController placementGap statisticsPartition Around MedoidsSoftware Defined NetworksSDNSouth African National Research and Education NetworkSANReNArticleMamushiane, 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/10204/12005Mamushiane, 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/10204/12005Mamushiane 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.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 -24340