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Volume 40 Issue 10
Sep.  2018
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Huanlin LIU, Hao HU, Cuilian XIONG, Yong CHEN, Min XIANG, Yue MA. Resources Balancing Algorithm Based on the Time-frequency Fragment Awareness for Virtual Optical Network Mapping[J]. Journal of Electronics & Information Technology, 2018, 40(10): 2345-2351. doi: 10.11999/JEIT171208
Citation: Huanlin LIU, Hao HU, Cuilian XIONG, Yong CHEN, Min XIANG, Yue MA. Resources Balancing Algorithm Based on the Time-frequency Fragment Awareness for Virtual Optical Network Mapping[J]. Journal of Electronics & Information Technology, 2018, 40(10): 2345-2351. doi: 10.11999/JEIT171208

Resources Balancing Algorithm Based on the Time-frequency Fragment Awareness for Virtual Optical Network Mapping

doi: 10.11999/JEIT171208
Funds:  The National Natural Science Foundation of China (61275077), The Basic and Frontier Research Program of Chongqing (2015jcyjA40024), The National Electric Net Ltd. Technology Project
  • Received Date: 2017-12-21
  • Rev Recd Date: 2018-06-11
  • Available Online: 2018-07-30
  • Publish Date: 2018-10-01
  • In order to address the problems of the high bandwidth blocking probability and imbalance resources consumption in physical network during virtual optical network mapping, Fragmentation-Aware based on time and spectrum domain of Virtual Network Mapping (FA-VNM) algorithm is proposed. In the FA-VNM algorithm, the fragments problem in the time domain and the spectrum domain is considered. Fragment formula jointly considering the time fragment and spectrum fragment is devised to minimize the spectrum fragments. Further, in order to balance the network resources consumption, based on the FA-VNM, Load Balancing based on degree of Virtual Network Mapping (LB-VNM) algorithm is proposed. In the stage of node mapping, physical node average resource carrying capacity is introduced and the physical node with larger average resources carrying capacity is mapped first. In order to balance the resource consumption in physical path, weight value of physical path is calculated in the stage of link mapping. Then, according to the weight value of each physical path, virtual links are mapped to achieve the purpose of load balancing for reduce the blocking rate. Simulation results show that the algorithms can effectively reduce the blocking rate and improve the resources utilization.
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