A Novel Load Balancing Strategy of Software-Defined Cloud/Fog Networking in the Internet of Vehicles

作     者：Xiuli He Zhiyuan Ren Chenhua Shi Jian Fang 

作者机构：The State Key Laboratory of ISN in School of Telecommunications Engineering No.2 South Taibai Road Yan Ta DistrictXidian University The State Radio Monitoring Center and Testing Center 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2016年第13卷第S2期

页      面：140-149页

核心收录：

学科分类：08[工学] 0838[工学-公安技术] 

基　　金：supported in part by National Natural Science Foundation of China (No.61401331,No.61401328) 111 Project in Xidian University of China(B08038) Hong Kong,Macao and Taiwan Science and Technology Cooperation Special Project (2014DFT10320,2015DFT10160) The National Science and Technology Major Project of the Ministry of Science and Technology of China(2015zx03002006-003) FundamentalResearch Funds for the Central Universities (20101155739) 

主　　题：internet of vehicles cloud computing cloud/fog network software defined networking load balancing 

摘      要：The Internet of Vehicles(IoV)has been widely researched in recent years,and cloud computing has been one of the key technologies in the *** cloud computing provides high performance compute,storage and networking services,the IoV still suffers with high processing latency,less mobility support and location *** this paper,we integrate fog computing and software defined networking(SDN) to address those *** computing extends computing and storing to the edge of the network,which could decrease latency remarkably in addition to enable mobility support and location ***,SDN provides flexible centralized control and global knowledge to the *** order to apply the software defined cloud/fog networking(SDCFN) architecture in the IoV effectively,we propose a novel SDN-based modified constrained optimization particle swarm optimization(MPSO-CO) algorithm which uses the reverse of the flight of mutation particles and linear decrease inertia weight to enhance the performance of constrained optimization particle swarm optimization(PSO-CO).The simulation results indicate that the SDN-based MPSO-CO algorithm could effectively decrease the latency and improve the quality of service(QoS) in the SDCFN architecture.