首页|Load-Balancing and QoS Based Dynamic Resource Allocation Method for Smart Gird Fiber-Wireless Networks

Load-Balancing and QoS Based Dynamic Resource Allocation Method for Smart Gird Fiber-Wireless Networks

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Real-time network resource allocation based on virtualization technology is an important method to solve the solidification problem of Fiber-wireless (Fi-Wi) access networks.To increase the resource utilization and meet the specific QoS requirements of smart gird communication services,a Load-balancing and QoS based dynamic resource allocation method (LbQ-DR) is proposed with three sub-mechanisms.A time-window based substrate network resource update mechanism is designed to describe the realtime resource consumption of substrate networks,which can balance the accuracy of resource status and the complexity of the allocation algorithm.A QoS-based Virtual network request (VNR) sorting mechanism is presented to precisely calculate the priority of VNRs and reasonably sort the incoming services.A load-balancing based resource allocation mechanism is designed to avoid unbalanced resource consumption.Especially,the channel interference is considered in the cost of embedding and a collision domain mechanism is introduced to decrease interference.Simulation results demonstrate that the proposed method can provide heterogeneous smart grid businesses with differentiated service,improve the utilization and economic benefits of the network and make the network more balanced.

Load-balancingQuality of Service (QoS)Smart grid communication networksFiber-wireless (Fi-Wi) networksResource allocation

XU Siya、LI Peng、QI Feng、GUO Shaoyong、ZHOU Guiping、DENG Wei、LI Yueyue

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State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications,Beijing 100086, China

Shenyang Electric Power Supply Company, State Grid Liaoning Electric Power Company Co.LTd.,Liaoning 110004, China

Beijing Guodiantong Network Technical Co.LTd., Beijing 100070, China

Shenyang Electric Power Supply Company, State Grid Liaoning Electric Power Company Co.LTd.,Liaoning 110811, China

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This work is supported by National Key R&D Program of ChinaFundamental Research Funds for the Central Universities

2016YFB09012002019RC07

2019

中国电子杂志(英文版)

中国电子杂志(英文版)

CSTPCDCSCDSCIEI
ISSN:1022-4653
年,卷(期):2019.28(6)
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