| Citation: | Lun TANG, Xixi YANG, Yingjie SHI, Qianbin CHEN. ARMA-prediction Based Online Adaptive Dynamic Resource Allocation in Wireless Virtualized Networks[J]. Journal of Electronics & Information Technology, 2019, 41(1): 16-23. doi: 10.11999/JEIT180048
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In order to solve the unreasonable virtual resource allocation caused by the uncertainty of service and delay of information feedback in wireless virtualized networks, an online adaptive virtual resource allocation algorithm proposed based on Auto Regressive Moving Average (ARMA) prediction. Firstly, a cost of virtual networks minimization is studied by jointly allocating the time-frequency resources and buffer space, while guaranteeing the overflow probability of each virtual network. Secondly, considering the different demand of virtual networks to different resources, a resource dynamic scheduling mechanism designed with multiple time scales, in which the reservation strategy of buffer space is realized based on the ARMA’s prediction information in slow time scale and the virtual networks are sorted according to the overflow probability derived by the large deviation principle and dynamically schedules the time-frequency resources in fast time scale, so as to meet the service demand. Simulation results show that the algorithm can effectively reduce the bit loss rate and improve the utilization of physical resources.
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