On the Optimal Approach of Survivable Virtual Network Embedding in Virtualized SDN

Rongzhen LI  Qingbo WU  Yusong TAN  Junyang ZHANG  

IEICE TRANSACTIONS on Information and Systems   Vol.E101-D   No.3   pp.698-708
Publication Date: 2018/03/01
Publicized: 2017/12/18
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2017EDP7291
Type of Manuscript: PAPER
Category: Information Network
cloud datacenter network,  survivable virtual network embedding,  network topology,  virtual SDN,  network delay,  

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Software-defined networking (SDN) has emerged as a promising approach to enable network innovation, which can provide network virtualization through a hypervisor plane to share the same cloud datacenter network among multiple virtual networks. While, this attractive approach may bring some new problem that leads to more susceptible to the failure of network component because of the separated control and forwarding planes. The centralized control and virtual network sharing the same physical network are becoming fragile and prone to failure if the topology of virtual network and the control path is not properly designed. Thus, how to map virtual network into physical datacenter network in virtualized SDN while guaranteeing the survivability against the failure of physical component is extremely important and should fully consider more influence factors on the survivability of virtual network. In this paper, combining VN with SDN, a topology-aware survivable virtual network embedding approach is proposed to improve the survivability of virtual network by an enhanced virtual controller embedding strategy to optimize the placement selection of virtual network without using any backup resources. The strategy explicitly takes account of the network delay and the number of disjoint path between virtual controller and virtual switch to minimize the expected percentage of control path loss with survivable factor. Extensive experimental evaluations have been conducted and the results verify that the proposed technology has improved the survivability and network delay while keeping the other within reasonable bounds.