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CLC number: TP393

On-line Access: 2016-07-05

Received: 2015-11-10

Revision Accepted: 2016-02-16

Crosschecked: 2016-06-09

Cited: 1

Clicked: 6737

Citations:  Bibtex RefMan EndNote GB/T7714


Shui-qing Gong


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Frontiers of Information Technology & Electronic Engineering  2016 Vol.17 No.7 P.701-716


An efficient and coordinated mapping algorithm in virtualized SDN networks

Author(s):  Shui-qing Gong, Jing Chen, Qiao-yan Kang, Qing-wei Meng, Qing-chao Zhu, Si-yi Zhao

Affiliation(s):  College of Information and Navigation, Air Force Engineering University, Xi’an 710077, China

Corresponding email(s):   gsq0121@126.com

Key Words:  Software-defined networking (SDN), Network virtualization, Controller placement, Virtual network embedding, Coordination

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Shui-qing Gong, Jing Chen , Qiao-yan Kang, Qing-wei Meng, Qing-chao Zhu , Si-yi Zhao. An efficient and coordinated mapping algorithm in virtualized SDN networks[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(7): 701-716.

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software-defined networking (SDN) enables the network virtualization through SDN hypervisors to share the underlying physical SDN network among multiple logically isolated virtual SDN networks (vSDNs), each with its own controller. The vSDN embedding, which refers to mapping a number of vSDNs to the same substrate SDN network, is a key problem in the SDN virtualization environment. However, due to the distinctions of the SDN, such as the logically centralized controller and different virtualization technologies, most of the existing embedding algorithms cannot be applied directly to SDN virtualization. In this paper, we consider controller placement and virtual network embedding as a joint vSDN embedding problem, and formulate it into an integer linear programming with objectives of minimizing the embedding cost and the controller-to-switch delay for each vSDN. Moreover, we propose a novel online vSDN embedding algorithm called CO-vSDNE, which consists of a node mapping stage and a link mapping stage. In the node mapping stage, CO-vSDNE maps the controller and the virtual nodes to the substrate nodes on the basis of the controller-to-switch delay and takes into account the subsequent link mapping at the same time. In the link mapping stage, CO-vSDNE adopts the k-shortest path algorithm to map the virtual links. The evaluation results with simulation and Mininet emulation show that the proposed CO-vSDNE not only significantly increases the long-term revenue to the cost ratio and acceptance ratio while guaranteeing low average and maximum controller-to-switch delay, but also achieves good vSDN performance in terms of end-to-end delay and throughput.

This paper formulates the SDN controller placement and the virtual network embedding as an integer linear programming with objectives to minimize the embedding cost and the controller-to-switch delay for each request vSDN. The authors propose a two-phase embedding algorithm which consists of a node mapping stage and a link mapping stage. Authors claimed that simulation results show the proposed vSDNE approach significantly increases the long-term revenue to cost ratio and acceptance ratio while guaranteeing a lower controller-to-switch delay. It is a well written paper and the presented approach sounds standard. The goal is very all-encompassing. The authors provide a reasonable solution strategy to the problem.




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