光电混合数据中心的流量分级分类调度研究
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(南京邮电大学 电子与光学工程学院, 江苏 南京 210023)

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刘逢清(1975-),男,博士,副教授,硕士生导 师,主要从事光纤通信和光网络方面的研究.

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国家自然科学基金(62004105)资助项目


Research on traffic classification and scheduling in hybrid optoelectronic data centers
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(College of Electronic and Optical Engineering, Nanjing University of Posts & Tel ecommunications, Nanjing, Jiangsu 210023, China)

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    摘要:

    光电混合数据中心中的电分组交换可以灵活交换 突发小流量但不能有效传输持续时间 长的大流量,而光路交换正好相反。为此,在基于阵列波导光栅路由器(arrayed waveguide grating router,AWGR)的光电混合数 据中心网络中,提出一种采用主动队列检测的流量分级分类调度策略,由电交换和光路交换 共同实现大小流量的有效调度。根据数据中心的流量模型设计了仿真实验,分析了不同流量 模型下各架构的平均时延和吞吐量。结果表明,和带宽收敛比为1∶1 的树型、Fat-tree型 和C-Through型相比,随机流量模型下AWGR模型的吞吐量增幅达19.43%,时延 降幅达45.73%。点对点流量模型下,随 着K从1增大到4,相比于其它 3种模型,AWGR模型的 吞吐量降幅和时延增幅最低,分别为2.85%和46.98%。说明所提设计方案能有效地提高数据 中心吞吐量和降低时延。

    Abstract:

    In a hybrid optoelectronic data center,an electronic switch can switc h packets in small traffic flow flexibly and efficiently,but cannot effectively transmit those in large traffic with long duration.In contrast,optical routers are just the opposite.Therefore,in the hybrid optoelectronic data center networks based on arrayed waveguide grating router (AWGR),a hierarchical and classified traffic schedu ling strategy using active queue detection is proposed to achieve effective scheduling of both large and small traffic by a combination of electronic switching networks and optical wavelength paths. According to the traffic model of data centers,simulation experiments are desig ned,in which the average delay and throughput of each architecture under different traffic models are analyzed. Numerical results show that:comparing with the Fat-tree,C-Through structures a nd the conve ntional tree structures with a bandwidth convergence ratio of 1∶1,the throughpu t of the AWGR s tructures increases at least 19.43% and the delay reduces at least 45.73% under random traffic model.Under point-to-point traffic model,as K increases from 1to 4,the AWGR s tructures compared with the other three structures have t he lowest throughput drop and delay increase of 2.85% and 46.98% respectively,Our scheme can effectively improve the performance of throughput and delay in a datacenter.

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刘逢清,陈宇星,张天亿.光电混合数据中心的流量分级分类调度研究[J].光电子激光,2022,33(3):305~311

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  • 收稿日期:2021-07-05
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  • 在线发布日期: 2022-04-27
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