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作 者:Shifeng Ding Zile Jiang Sanjay K.Bose Gangxiang Shen
机构地区:[1]School of Electronic and Information Engineering,Soochow University,Jiangsu,China [2]Suzhou Key Laboratory of Advanced Optical Communication Network Technology,Soochow University,Soochow University,China [3]Jiangsu Engineering Research Center of Novel Optical Fiber Technology and Communication Network,Soochow University,Soochow University,China [4]Department of Information Engineering,The Chinese University of Hong Kong,HongKong,China [5]Kuang Yaming Honors School,Nanjing University,Jiangsu,China [6]Department of EEE,IIT Guwahati,India
出 处:《China Communications》2021年第9期148-166,共19页中国通信(英文版)
基 金:National Key R&D Program China under Grant 2018YFB1801701;National Natural Science Foundation of China(NSFC)under Grant 61671313;the Priority Academic Program Development of Jiangsu Higher Education Institutions。
摘 要:Network virtualization is important for elastic optical networks(EONs)because of more flexible service provisioning.To ensure guaranteed quality of service(QoS)for each virtual elastic optical network(VEON),clients usually request network resources from a network operator based on their bandwidth requirements predicted from historical traffic demands.However,this may not be efficient as the actual traffic demands of users always fluctuate.To tackle this,we propose a new VEON service provisioning scheme,called SATP,which consists of three stages,i.e.,spectrum assignment(SA),spectrum trading(ST),and spectrum purchasing(SP).Unlike conventional once-for-all VEON service provisioning approaches,the SATP scheme first allocates spectrum resources to VEONs according to their predicted bandwidth requirements with a satisfaction ratio α(0<α≤1).Then,to minimize service degradation on VEONs which are short of assigned spectra for their peak traffic periods,the scheme allows VEONs to trade spectra with each other according to their actual bandwidth requirements.Finally,it allows VEON clients to purchase extra spectrum resources from a network operator if the spectrum resources are still insufficient.To optimize this entire process,we formulate the problem as a mixed integer linear programming(MILP)model and also develop efficient heuristic algorithms for each stage to handle large test scenarios.Simulations are conducted under different test conditions for both static and dynamic traffic demand scenarios.Results show that the proposed SATP scheme is efficient and can achieve significant performance improvement under both static and dynamic scenarios.
关 键 词:virtual elastic optical network virtual optical network embedding spectrum assignment spectrum trading spectrum purchasing
分 类 号:TN929.1[电子电信—通信与信息系统]
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