Dynamic Network Topology Portrait for Digital Twin Optical Network

被引:5
作者
Wu, Yonghan [1 ]
Zhang, Min [1 ]
Zhang, Lifang [2 ]
Li, Jin [1 ]
Chen, Xue [1 ]
Wang, Danshi [1 ]
机构
[1] Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China
[2] China Unicom, Intelligent Network Innovat Ctr China Unicom, Beijing 100033, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Network topology; Optical fiber networks; Routing; Topology; Graphics; Monitoring; Data models; Digital twin optical network; network topology representation; multi-factor evaluation; routing computation; RESOURCE-ALLOCATION; LOCALIZATION; MANAGEMENT; ALGORITHM;
D O I
10.1109/JLT.2023.3241187
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Digital twin (DT) as one promising technology has been introduced in optical networks, whose role is to achieve interactive functions and intelligent control by building a bridge between physical space and digital space. In this paper, a multifactor-associated network topology portrait (NTP) scheme is proposed to draw a dynamic, real-time, and comprehensive topology representation for DT optical network (DTON). Multiple parameters from nodes and links are jointly evaluated, including link distance, link loss, optical signal-to-noise ratio, bandwidth utilization rate, load capacity, node failure rate, and link failure rate, involving both network layer and physical layer. Based on the NTP, the performance of dynamic routing computation combined with six different routing algorithms is studied, Here, the time for routing computation is sacrificed a little bit in exchange for significant improvements in outage probability, outage latency, and the number of service requests.
引用
收藏
页码:2953 / 2968
页数:16
相关论文
共 46 条
[1]   Joint Beamforming and User Maximization Techniques for Cognitive Radio Networks Based on Branch and Bound Method [J].
Cumanan, Kanapathippillai ;
Krishna, Ranaji ;
Musavian, Leila ;
Lambotharan, Sangarapillai .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2010, 9 (10) :3082-3092
[2]   On the Some New Preconditioned Generalized AOR Methods for Solving Weighted Linear Least Squares Problems [J].
Fallah, M. ;
Edalatpanah, S. A. .
IEEE ACCESS, 2020, 8 :33196-33201
[3]  
Feng Z., 2022, ZTE Technol. J., V28, P62, DOI [10.12142/ZTETJ.202201013, DOI 10.12142/ZTETJ.202201013]
[4]  
Ferrari A., 2022, P OPT FIB COMM C EXH, P1
[5]   In- and Out-Degree Distributions of Nodes and Coverage in Random Sector Graphs [J].
Ferrero, R. ;
Bueno-Delgado, M. V. ;
Gandino, F. .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2014, 13 (04) :2074-2085
[6]   Performance Evaluation of Impairment-Aware Routing Under Single- and Double-Link Failures [J].
Georgakilas, Konstantinos N. ;
Katrinis, Kostas ;
Tzanakaki, Anna ;
Madsen, Ole B. .
JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING, 2010, 2 (08) :633-641
[7]  
Guan X., 2008, J COMPUT APPL, V28, P230
[8]   Impact of Fiber Attenuation and Effective Area on Spectrum Efficiency of Elastic Optical Networks [J].
Guo, Ningning ;
Bose, Sanjay K. ;
Mukherjee, Biswanath ;
Shen, Gangxiang .
JOURNAL OF LIGHTWAVE TECHNOLOGY, 2022, 40 (08) :2200-2213
[9]   Dynamic Resource Allocation in Metro Elastic Optical Networks Using Lyapunov Drift Optimization [J].
Hadi, Mohammad ;
Pakravan, Mohammad Reza ;
Agrell, Erik .
JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING, 2019, 11 (06) :250-259
[10]  
Hongwei Yang, 2021, 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI), P94, DOI 10.1109/DTPI52967.2021.9540090