LS-SDV: Virtual Network Management in Large-Scale Software-Defined IoT
Author(s) -
He Li,
Kaoru Ota,
Mianxiong Dong
Publication year - 2019
Publication title -
ieee journal on selected areas in communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.986
H-Index - 236
eISSN - 1558-0008
pISSN - 0733-8716
DOI - 10.1109/jsac.2019.2927099
Subject(s) - computer science , virtual network , scalability , network management station , distributed computing , network management , software defined networking , computer network , software , internet of things , network architecture , embedded system , operating system
Internet of Things (IoT) becomes a very important area for providing various services on connected smart devices. For the isolation of different services in IoT, software-defined networking (SDN)-based virtual networks will be a scalable and flexible solution. However, in a large-scale IoT, as smart devices will move long distance between different positions, virtual network management becomes very difficult in providing network services. In this paper, we propose the LS-SDV, an efficient virtual network management framework in large-scale software-defined IoT (SDIoT). In this framework, we design a two-layer distributed control plane to manage devices and virtual networks in a large-scale environment. To the best of our knowledge, the LS-SDV is the first work to apply distributed control plane for virtual network management in softwarized networks. Moreover, based on the novel structure of the LS-SDV, we also provide a solution for network flow scheduling through network analysis. We evaluate the performance of our framework and virtual network management by extensive simulation and experiment in an open SDN framework.
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