WU Xiaochun, WU Chunming, WANG Bin, QIAN Yaguan, LAN Julong. Network View and Cognitive Mechanism for Virtual Network Resource Management Based Intelligent[J]. Chinese Journal of Electronics, 2014, 23(3): 574-578.
Citation: WU Xiaochun, WU Chunming, WANG Bin, QIAN Yaguan, LAN Julong. Network View and Cognitive Mechanism for Virtual Network Resource Management Based Intelligent[J]. Chinese Journal of Electronics, 2014, 23(3): 574-578.

Network View and Cognitive Mechanism for Virtual Network Resource Management Based Intelligent

Funds:  This work is supported by the National Basic Research Program of China (973 Program) (No.2012CB315903, No.2012CB315902), the Key Science and Technology Innovation Team Project of Zhejiang Province (No.2011R50010), the National Science and Technology Support Program (No.2014BAH24F01), 863 Program of China (No.2012AA01A507), the National Natural Science Foundation of China (No.61379118, No.61103200), the Natural Science Foundation of Zhejiang Province (No.LQ12F02013) and the Zhejiang Sci & Tech Project (No.2011C21049).
  • Received Date: 2013-02-01
  • Rev Recd Date: 2013-05-01
  • Publish Date: 2014-07-05
  • Network virtualization has been a particularly important driving force behind the development of NGN. Finding effective ways to control self-adapting virtual networks has become a research hot spot. This paper tries to find an efficient way in combining dynamic resource sensing with traffic character and requirements in virtual network, based on that an intelligent cognition based virtual network resources management model has been put forward. We design a network topology view by coloring network topology matrix with current resources model.We present an intelligent virtual resource management mechanism based on the proposed network topology view. Experiment results illustrate that the proposed mechanism can improve VN capacity by automatic resource adjustment, which can obtain high utilization of VN resources without increasing computational expenses.
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