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Article type: Research Article
Authors: Urayama, Yasuhiroa; * | Tachibana, Takujib
Affiliations: [a] Department of Social Design Engineering, National Institute of Technology, Kochi College, Kochi, 783-0093, Japan. E-mail: [email protected] | [b] Graduate School of Engineering, University of Fukui, Fukui, 910-8507, Japan. E-mail: [email protected]
Correspondence: [*] Corresponding author. E-mail: [email protected].
Abstract: The regional activation is an important issue for regional areas. In order to resolve this issue, we propose a live video streaming service for regional activation with the network virtualization technology. In our proposed service, a live video of each tourist spot is delivered to tourists and local residents though a dedicated virtual network. By watching the live video, it is expected to increase the interest of the tourists and the local residents for the tourist spot and they may visit the tourist spot. We suppose that the dedicated virtual networks are readied over a substrate network where existing services have already been performed. Therefore, we propose two topology designs for virtual networks so as to keep the performance of the existing services. One of the two topology designs embeds the dedicated virtual networks by solving an optimization problem based on network robustness of the substrate network, and the other embeds the dedicated virtual networks by solving an optimization problem based on the amount of resources in the virtual networks. We investigate the performance of our proposed topology designs with simulation. From numerical examples, we show that our proposed topology designs can effectively embed multiple virtual networks regardless of the number of tourist spots and the position of tourist spots, and we also show that our proposed live video streaming service is effective for the regional activation.
Keywords: Network virtualization, live video streaming, topology design, optimization problem, regional activation
DOI: 10.3233/JHS-190604
Journal: Journal of High Speed Networks, vol. 25, no. 1, pp. 73-85, 2019
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