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1. 南京邮电大学物联网学院,江苏 南京 210023
2. 江苏大学计算机科学与通信工程学院,江苏 镇江 212013
[ "鲍楠(1985- ),女,江苏靖江人,博士,南京邮电大学讲师,主要研究方向为异构网络资源优化。" ]
[ "左加阔(1985- ),男,山东枣庄人,博士,南京邮电大学讲师,主要研究方向为云无线接入网络资源管理、无线通信网络能效优化等。" ]
[ "胡晗(1985- ),女,湖北黄冈人,博士,南京邮电大学讲师,主要研究方向为认知无线电系统的频谱感知与频谱共享技术。" ]
[ "鲍煦(1982- ),男,江苏靖江人,博士,江苏大学副教授,主要研究方向为可见光通信技术、智能信号处理技术。" ]
网络出版日期:2019-02,
纸质出版日期:2019-02-25
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鲍楠, 左加阔, 胡晗, 等. 基于SDN的网络资源选择多目标优化算法[J]. 通信学报, 2019,40(2):51-59.
Nan BAO, Jiakuo ZUO, Han HU, et al. SDN based network resource selection multi-objective optimization algorithm[J]. Journal on communications, 2019, 40(2): 51-59.
鲍楠, 左加阔, 胡晗, 等. 基于SDN的网络资源选择多目标优化算法[J]. 通信学报, 2019,40(2):51-59. DOI: 10.11959/j.issn.1000-436x.2019031.
Nan BAO, Jiakuo ZUO, Han HU, et al. SDN based network resource selection multi-objective optimization algorithm[J]. Journal on communications, 2019, 40(2): 51-59. DOI: 10.11959/j.issn.1000-436x.2019031.
针对基于软件定义网络(SDN)的复杂结构中不同资源效用目标共存、资源选择策略相互影响的问题,提出了一种基于 SDN 的网络资源选择多目标优化算法。该算法综合考虑资源供给方和客户方对资源效用的不同优化目标,构建资源选择多目标优化模型,并采用基于参考矢量的多目标优化算法对模型求解。仿真结果表明,与其他资源优化算法相比,所提算法能够快速收敛得到均匀分布的非劣解集,均衡基于 SDN 资源接入管理时多方的优化目标。
For the problem of coexistence of different resource utility objectives and mutual influence of resource selection strategies in the complex structure of software-defined network (SDN)
an SDN based network resource selection multi-objective optimization algorithm was proposed.The optimization goals of resource providers and clients were taken into account in the algorithm
and a resource selection multi-objective optimization model was constructed.The model was further solved by the reference vector based multi-objective optimization algorithm.Simulation results show that compared with other algorithms
the proposed algorithm could quickly converge to the uniformly distributed non-inferior solution set
and balance the optimization objects of multi-party in SDN based resource access management.
BHAT P , NAGATA S , CAMPOY L , et al . LTE-advanced:an operator perspective [J ] . IEEE Communications Magazine , 2012 , 50 ( 2 ): 104 - 114 .
ALI-AHMAD H , CICCONETTI C , OLIVA A D L , et al . An SDNbased network architecture for extremely dense wireless networks [C ] // IEEE Future Networks and Services . 2013 : 1 - 7 .
WANG K , WANG Y , ZENG D , et al . An SDN-based architecture for next-generation wireless networks [J ] . IEEE Wireless Communications , 2017 , 24 ( 1 ): 25 - 31 .
ZEHRA U , SHAH M A . A survey on resource allocation in software defined networks (SDN) [C ] // International Conference on Automation and Computing . 2017 : 1 - 6 .
刘宇 . SDN的网络虚拟化资源分配技术 [D ] . 南京:南京邮电大学 , 2015 .
LIU Y . Resource allocation technology of network virtualization in software-defined networks [D ] . Nanjing:Nanjing University of Posts and Telecommunications , 2015 .
AWAIS M , AHMED A , NAEEM M , et al . Efficient joint user association and resource allocation for cloud radio access networks [J ] . IEEE Access , 2017 , 5 ( 99 ): 1439 - 1448 .
ZHANG Y , WANG Y , FAN B . SDN based optimal user cooperation and energy efficient resource allocation in cloud assisted heterogeneous networks [J ] . IEEE Access , 2017 , 5 ( 99 ): 1469 - 1481 .
张潇璐 , 刘曦 , 李伟东 , 等 . 基于共享资源量的动态多资源公平分配策略 [J ] . 通信学报 , 2016 , 37 ( 7 ): 151 - 160 .
ZHANG X L , LIU X , LI W D , et al . Dynamic fair allocation of multi-resources based on shared resource quantity [J ] . Journal on Communications , 2016 , 37 ( 7 ): 151 - 160 .
FARSHIN A , SHARIFIAN S . MAP-SDN:a metaheuristic assignment and provisioning SDN framework for cloud datacenters [J ] . Journal of Supercomputing , 2017 , 73 ( 1 ): 1 - 25 .
王力 , 赵季红 , 曲桦 , 等 . 软件定义承载网中基于负载均衡的虚拟网络资源分配算法 [J ] . 电信科学 , 2015 , 31 ( 11 ): 32 - 38 .
WANG L , ZHAO J H , QU H , et al . Virtual network resource allocation algorithm based on load balance in carrier-SDN [J ] . Telecommunications Science , 2015 , 31 ( 11 ): 32 - 38 .
SEYEDEBRAHIMI M , BOUHAFS F , RASCHELLÀ A , et al . SDN-based channel assignment algorithm for interference management in dense Wi-Fi networks [C ] // IEEE European Conference on Networks and Communications . 2016 : 128 - 132 .
NARMANIIOGLU O , ZEYDAN E . Interference coordination in SDN-based heterogeneous mobile networks [C ] // IEEE International Black Sea Conference on Communications and Networking . 2017 : 1 - 6 .
ZHANG H , WANG B , JIANG C , et al . Energy efficient dynamic resource allocation in NOMA networks [C ] // IEEE Global Communications Conference . 2017 : 1 - 5 .
赵思逸 , 陈靖 , 龚水清 . 基于粒子群优化的虚拟 SDN 网络映射算法 [J ] . 计算机工程 , 2016 , 42 ( 12 ): 84 - 90 .
ZHAO S Y , CHEN J , GONG S Q . Virtual SDN network mapping algorithm based on particle swarm optimization [J ] . Computer Engineering , 2016 , 42 ( 12 ): 84 - 90 .
ZHAO Y , CHEN Y , JIAN R , et al . A resource allocation scheme for SDN-based 5G ultra-dense heterogeneous networks [C ] // IEEE GLOBECOM Workshops . 2017 : 1 - 6 .
KANG Q , SONG X , ZHOU M C , et al . A collaborative resource allocation strategy for decomposition-based multiobjective evolutionary algorithms [J ] . IEEE Transactions on Systems Man & Cybernetics Systems ( Early Access ) , 2018 ,PP( 99 ): 1 - 8 .
JIN Y , OLHOFER M , SENDHO B . Dynamic weighted aggregation for evolutionary multi-objective optimization:why does it work and how? [C ] // Genetic and Evolutionary Computation Conference . 2001 : 1042 - 1049 .
ZHANG Q , LI H . MOEA/D:a multiobjective evolutionary algorithm based on decomposition [J ] . IEEE Transactions on Evolutionary Computation , 2007 , 11 ( 6 ): 712 - 731 .
LIU H L , GU F , ZHANG Q . Decomposition of a multiobjective optimization problem into a number of simple multiobjective subproblems [J ] . IEEE Transactions on Evolutionary Computation , 2014 , 18 ( 3 ): 450 - 455 .
CHENG R , JIN Y , OLHOFER M , et al . A reference vector guided evolutionary algorithm for many-objective optimization [J ] . IEEE Transactions on Evolutionary Computation , 2016 , 20 ( 5 ): 773 - 791 .
CHENG R , JIN Y , NARUKAWA K , et al . A multiobjective evolutionary algorithm using gaussian process-based inverse modeling [J ] . IEEE Transactions on Evolutionary Computation , 2015 , 19 ( 6 ): 838 - 856 .
PREECE D A . Experiments with mixtures:designs,models,and the analysis of mixture data [M ] . Hoboken : WileyPress , 2011 .
DEB K , AGRAWAL R B . Simulated binary crossover for continuous search space [J ] . Complex Systems , 1994 , 9 ( 3 ): 115 - 148 .
DEB K , GOYAL M . A Combined genetic adaptive search (GeneAS) for engineering design [J ] . Computer Science and Informatics , 1996 , 26 ( 4 ): 30 - 45 .
COELLO C A C , PULIDO G T , LECHUGA M S . Handling multiple objectives with particle swarm optimization [J ] . IEEE Transactions on Evolutionary Computation , 2007 , 8 ( 3 ): 256 - 279 .
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