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1.苏州大学 电子信息学院,江苏 苏州 215006
2.苏州大学文正学院,江苏 苏州 215104
3.苏州路之遥科技股份有限公司 技术研究院,江苏 苏州215153
陈伯文,副教授。E-mail:bwchen@suda.edu.cn
纸质出版日期:2022-12-10,
收稿日期:2021-11-26,
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陈伯文, 王曜辉, 陈琪, 等. 混合线速率的虚拟光网络映射成本优化方法[J]. 光通信研究, 2022,(6):1-8.
CHEN Bo-wen, WANG Yao-hui, CHEN Qi, et al. Optimized Network Cost Approaches of Virtual Optical Network Mapping based on Mixed Line Rate[J]. Study on Optical Communications, 2022,(6):1-8.
陈伯文, 王曜辉, 陈琪, 等. 混合线速率的虚拟光网络映射成本优化方法[J]. 光通信研究, 2022,(6):1-8. DOI: 10.13756/j.gtxyj.2022.06.001.
CHEN Bo-wen, WANG Yao-hui, CHEN Qi, et al. Optimized Network Cost Approaches of Virtual Optical Network Mapping based on Mixed Line Rate[J]. Study on Optical Communications, 2022,(6):1-8. DOI: 10.13756/j.gtxyj.2022.06.001.
随着移动服务、大数据、云服务和人工智能的快速发展,传统网络服务已无法满足当前网络发展的需求,也无法解决当前网络存在的资源分配与调度僵化问题。而通过采用网络虚拟化技术,能够为用户提供灵活网络资源配置信息,从而减少网络成本,提高网络资源效率。采用混合线速率切分方式,把虚拟链路的带宽资源切分成不同的线速率传输,文章提出了基于混合线速率的虚拟光网络(VON)映射成本优化方法。仿真结果表明,与传统单线速率VON映射方法相比,文章所提出的混合线速率VON映射方法能够在网络成本、频谱隙占用数、光转发器和光再生器方面得到更好的优化和平衡。
With the rapid development of mobile services
big data
cloud services
and artificial intelligence
traditional network services cannot no longer meet the requirements of current network development and solve the problems of the resource allocation and scheduling ossification in the current network. Therefore
by using network virtualization technologies
we can provide the flexible network resource configuration information for users to reduce network cost and improve network resource efficiency. The required bandwidth resources of each virtual link are divided into different transmission line rate by employing mixed line rate splitting. We propose an optimized cost approach for Virtual Optical Network (VON) mapping based on mixed line rate. Simulation results show that the proposed optimized cost approach of VON mapping based on mixed line rate can achieve better optimization and balance in terms of the network cost
frequency slot occupation
the configuration of optical transponders
and optical regenerators.
光网络混合线速率成本优化虚拟光网络映射
optical networkmixed line rateoptimized network costVON mapping
Cisco .Cisco Visual Networking Index: Forecast and Methodology[EB/OL]. (2017-06-08)[2021-11-26]. https://newsroom.cisco.com/c/r/newsroom/en/us/a/y2017/m06/cisco-visual-networking-index-predicts-global-annual-ip-traffic-to-exceed-three-zettabytes-by-2021.html?dtid=osscdc00028https://newsroom.cisco.com/c/r/newsroom/en/us/a/y2017/m06/cisco-visual-networking-index-predicts-global-annual-ip-traffic-to-exceed-three-zettabytes-by-2021.html?dtid=osscdc00028.
陈锐海, 曹露浩. 中国互联网发展报告2019[EB/OL]. (2020-03-12) [2021-11-26]. https://www.isc.org.cn/article/37331.htmlhttps://www.isc.org.cn/article/37331.html.
Chen R H, Cao L H. China Internet Development Report 2019[EB/OL]. (2020-03-12) [2021-11-26]. https://www.isc.org.cn/article/37331.htmlhttps://www.isc.org.cn/article/37331.html.
Chen B, Zhang J, Xie W, et al. Cost-effective Survivable Virtual Optical Network Mapping in Flexible Bandwidth Optical Networks [J]. IEEE/OSA Journal of Lightwave Technology, 2016, 34(10): 2398-2412.
Chen Q, Lei Y, Zhang Q, et al. A Profit-maximized Approach based on Link Importance Degree for Virtual Optical Networks Mapping [C]//Asia Communications and Photonics Conference (ACP). Chengdu, China: IEEE, 2019: 1-3.
Nag A, Tornatore M M. Transparent Optical Network Design with Mixed Line Rates[C]//International Symposium on Advanced Networks and Telecommunication Systems. Mumbai, Indi: IEEE, 2018: 1-3.
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