[1]黄丽萍,杨龙祥.可生存性虚拟网络映射算法的研究[J].计算机技术与发展,2018,28(07):144-148.[doi:10.3969/ j. issn.1673-629X.2018.07.031]
 HUANG Li-ping,YANG Long-xiang.A Survey on Survivable Virtual Network Embedding Algorithm[J].,2018,28(07):144-148.[doi:10.3969/ j. issn.1673-629X.2018.07.031]
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可生存性虚拟网络映射算法的研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
28
期数:
2018年07期
页码:
144-148
栏目:
应用开发研究
出版日期:
2018-07-10

文章信息/Info

Title:
A Survey on Survivable Virtual Network Embedding Algorithm
文章编号:
1673-629X(2018)07-0144-05
作者:
黄丽萍杨龙祥
南京邮电大学 通信与信息工程学院,江苏 南京 210003
Author(s):
HUANG Li-pingYANG Long-xiang
School of Communication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
关键词:
网络虚拟化虚拟网络虚拟网络映射映射算法可生存性算法
Keywords:
network virtualizationvirtual networkvirtual network embeddingembedding algorithmsurvivable algorithm
分类号:
TP393.01
DOI:
10.3969/ j. issn.1673-629X.2018.07.031
文献标志码:
A
摘要:
网络虚拟化是未来网络的关键技术之一。 网络虚拟化技术能共享底层网络资源,在此基础上建立多个相互隔离的虚拟网络。 每个虚拟网络由虚拟节点和节点之间的虚拟链路组成。 在网络虚拟化环境下,如何有效地将虚拟网络映射到底层网络上,即虚拟网络映射问题。 由于底层网络易出现故障,从而导致映射到底层网络上的虚拟网络不能继续工作。如何从底层网络故障中快速恢复过来,并且最大可能地降低损失,已成为当前研究虚拟网络映射问题的重点。 为了全面了解可生存性虚拟网络映射问题,从问题定义、故障原因、映射目标等方面对可生存性虚拟网络映射算法进行了综述。 在按照算法不同特性进行分类和讨论的基础上,对几种典型的算法进行比较分析,据此指出未来的研究趋势。
Abstract:
Network virtualization,as one of the key technologies of the future network,can share substrate network resources,and build multiple isolated virtual networks based on that. Every virtual network is composed of virtual nodes and virtual links. In the environment of network virtualization,efficient mapping of virtual networks onto a substrate network is known as the virtual network ending problem.Because the substrate network is failure-prone,affecting all the VNs using it. How to quickly recover from the underlying network fault and minimize the loss has become the focus of current study on virtual network mapping. To fully understand the problem of survivable virtual network mapping,we present a survey of current SVNE algorithms from the aspects of problem definition,cause of fault and embedding objects. Based on the classification and discussion of different characteristics of the algorithm,we make a comparison and analysis
for several typical algorithms and point out the future research trends.

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更新日期/Last Update: 2018-09-04