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东北大学 计算机科学与工程学院,沈阳 110169
聂嘉琪,硕士。E-mail:1586809412@qq.com
纸质出版日期:2022-02-10,
收稿日期:2021-04-06,
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聂嘉琪. 基于数据中心光网络的节能虚拟网络嵌入算法[J]. 光通信研究, 2022,(1):6-11.
NIE Jia-qi. Enercy Efficient Virtual Network Embedding in Data Center Optical Networks[J]. Study on Optical Communications, 2022,(1):6-11.
聂嘉琪. 基于数据中心光网络的节能虚拟网络嵌入算法[J]. 光通信研究, 2022,(1):6-11. DOI: 10.13756/j.gtxyj.2022.01.002.
NIE Jia-qi. Enercy Efficient Virtual Network Embedding in Data Center Optical Networks[J]. Study on Optical Communications, 2022,(1):6-11. DOI: 10.13756/j.gtxyj.2022.01.002.
针对数据中心光网络(DCONs)的能耗节省问题,文章提出了一种基于匹配网络资源的节能嵌入(3E-MNR)算法。该算法采用协调的虚拟网络嵌入,提出了嵌入匹配网络资源的概念,在虚拟嵌入的同时考虑节点和链路的资源约束,根据链路距离选择合适的调制格式,放置再生器和光收发器(OTP),选择能耗最低的网络资源完成嵌入。实验结果表明,文章所提算法较两种基线算法可以减小总能耗和OTP能耗。在虚拟请求数多时,性能更加优越,并且可以在实现运行时间权衡的基础上,降低网络阻塞率。
To solve the energy consumption problem in Data Center Optical Networks (DCONs)
an Energy Efficient Embedding algorithm based on Matching Network Resources (3E-MNR) scheme is proposed. The algorithm adopts coordinated virtual network embedding based on the concept of embedding matching resources. In the process of virtual embedding
the resource constraints of nodes and links are taken into account at the same time. The algorithm selects the appropriate modulation format and location of regenerator and Optical Transponder (OTP) according to the link distance. The network resource with the lowest energy consumption is chosen to complete the embedding. Experimental results show that the proposed algorithm can reduce the total energy consumption and the OTP energy consumption compared with the two baseline algorithms. The performance is better when the number of virtual requests is high. The network blocking rate can be reduced on the basis of achieving the trade-off of running time.
虚拟网络嵌入数据中心光网络匹配资源节能调制格式
virtual network embeddingDCONsmatching resourcesenergy efficientmodulation format
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