Computer Science ›› 2020, Vol. 47 ›› Issue (7): 236-242.doi: 10.11896/jsjkx.190600022

• Computer Network • Previous Articles     Next Articles

Virtual Network Embedding Algorithm Based on Topology Comprehensive Evaluation and Weight Adaptation

SHI Chao-wei1, MENG Xiang-ru2, MA Zhi-qiang2, HAN Xiao-yang1   

  1. 1 Schoolof Graduate,Air Force Engineering University,Xi’an 710051,China
    2 School of Information and Navigation,Air Force Engineering University,Xi’an 710077,China
  • Received:2019-06-05 Online:2020-07-15 Published:2020-07-16
  • About author:SHI Chao-wei,born in 1996,postgra-duate.His main research interests include network virtualization and so on.
    MENG Xiang-ru,born in 1963,Ph.D,professor,Ph.D supervisor.His main research interests include next generation internet and cyber security.
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61873277)

Abstract: The existing virtual network embedding algorithms do not consider the topological features of nodes comprehensively,the evaluation method of nodes is relative simple and the weights cannot be adaptively adjusted according to the network.To solve these problems,a virtual network embedding algorithm based on topology comprehensive evaluation and weight adaptation is proposed.In the node embedding stage,by considering the centrality,proximity and adjacent aggregation of nodes,this paper establishes a node multi-metric evaluation model combined with the node resource properties such as the node CPU and the sum of adjacent bandwidth.The weights are adjusted adaptively according to the change of network environment by using the entropy weight method.Simulation results show that compared with the latest and classical virtual network embedding algorithms,the acceptance ratio of the proposed algorithm is improved by 2%~23%,and the long-term average revenue-to-cost ratio is increased by 3%~17%.Moreover,the proposed algorithm can maintain good performance for different types of virtual network requests with different resource requirements.

Key words: Virtual network embedding, Topology comprehensive evaluation, Weight adaptation, Regional aggregation, Entropy weight method

CLC Number: 

  • TP393
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