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机构地区:[1]Department of Computer Engineering and Department of AI Convergence Network,Suwon,16499,Korea
出 处:《Computers, Materials & Continua》2021年第4期849-875,共27页计算机、材料和连续体(英文)
基 金:supported by the MSIT(Ministry of Science and ICT),Korea,under the ITRC(Information Technology Research Center);support program(IITP-2020-2018-0-01431);supervised by the IITP(Institute for Information&Communications Technology Planning&Evaluation).
摘 要:The controller is indispensable in software-defined networking(SDN).With several features,controllers monitor the network and respond promptly to dynamic changes.Their performance affects the quality-of-service(QoS)in SDN.Every controller supports a set of features.However,the support of the features may be more prominent in one controller.Moreover,a single controller leads to performance,single-point-of-failure(SPOF),and scalability problems.To overcome this,a controller with an optimum feature set must be available for SDN.Furthermore,a cluster of optimum feature set controllers will overcome an SPOF and improve the QoS in SDN.Herein,leveraging an analytical network process(ANP),we rank SDN controllers regarding their supporting features and create a hierarchical control plane based cluster(HCPC)of the highly ranked controller computed using the ANP,evaluating their performance for the OS3E topology.The results demonstrated in Mininet reveal that a HCPC environment with an optimum controller achieves an improved QoS.Moreover,the experimental results validated in Mininet show that our proposed approach surpasses the existing distributed controller clustering(DCC)schemes in terms of several performance metrics i.e.,delay,jitter,throughput,load balancing,scalability and CPU(central processing unit)utilization.
关 键 词:QUALITY-OF-SERVICE software-defined networking CONTROLLER hierarchical control plane clustering SCALABILITY
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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