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Adaptability Analysis of Fluctuating Traffic for IP Switching and Optical Switching

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The technological development of smart devices and Internet of Things(IoT)has brought ever-larger bandwidth and fluctuating traffic to existing networks.The analy⁃sis of network capital expenditure(CAPEX)is extremely important and plays a fundamen⁃tal role in further network optimizing.In this paper,an adaptability analysis is raised for IP switching and optical transport network(OTN)switching in CAPEX when the service bandwidth is fluctuating violently.This paper establishes a multi-layer network architec⁃ture through Clos network model and discusses impacts of maximum allowable blocking rate and service bandwidth standard deviation on CAPEX of IP network and OTN network to find CAPEX demarcation point in different situations.As simulation results show,when the bandwidth deviation mean rate is 0.3 and the maximum allowable blocking rate is 0.01,the hardware cost of OTN switching will exceed IP switching as the average band⁃width is greater than 6100 Mbit/s.When the service bandwidth fluctuation is severe,the hardware cost of OTN switching will increase and exceed IP switching as the single port rate is allowed in optical switching.The increasing of maximum allowable blocking rate can decrease hardware cost of OTN switching.Finally,it is found that Flex Ethernet(FlexE)can be used to decrease CAPEX of OTN switching greatly at this time.

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  • 来源
    《中兴通讯技术(英文版)》 |2021年第1期|82-90|共9页
  • 作者单位

    Beijing Laboratory of Advanced Information Network Beijing University of Posts and Telecommunications Beijing 100876 China;

    Beijing Laboratory of Advanced Information Network Beijing University of Posts and Telecommunications Beijing 100876 China;

    Beijing Laboratory of Advanced Information Network Beijing University of Posts and Telecommunications Beijing 100876 China;

    Wireline Product Planning Department ZTE Corporation Shenzhen 518057 China;

    Wireline Product Planning Department ZTE Corporation Shenzhen 518057 China;

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  • 正文语种 eng
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  • 入库时间 2022-08-19 04:58:47
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