Node-Oriented Traffic Prediction and Scheduling Based on Graph Convolutional Network in Metro Optical Networks

被引：0

作者：

Bao, Bowen ^{[1
]}

Yang, Hui ^{[1
]}

Wan, Yu ^{[1
]}

Yao, Qiuyan ^{[1
]}

Yu, Ao ^{[1
]}

Zhang, Jie ^{[1
]}

Chatterjee, Bijoy Chand ^{[2
]}

Oki, Eiji ^{[3
]}

机构：

[1] Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, Beijing, Peoples R China

[2] South Asian Univ, Dept Comp Sci, New Delhi, India

[3] Kyoto Univ, Grad Sch Informat, Kyoto, Japan

来源：

2021 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC) | 2021年

基金：

北京市自然科学基金;

关键词：

D O I：

暂无

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：

This paper proposes a node-oriented traffic prediction and scheduling in elastic metro optical networks by introducing the graph convolution network. Simulation results show the proposed scheme achieves efficient resource utilization with an accurate traffic prediction.

引用

页数：3

共 50 条

[1] Node-Oriented Slice Reconfiguration Based on Spatial and Temporal Traffic Prediction in Metro Optical Networks
Bao, Bowen
Yang, Hui
Yao, Qiuyan
Zhang, Jie
Chatterjee, Bijoy Chand
Oki, Eiji
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2024, 21 (06): : 6731 - 6743
[2] Optical Network Traffic Prediction Based on Graph Convolutional Neural Networks
Gui, Yihan
Wang, Danshi
Guan, Luyao
Zhang, Min
2020 OPTO-ELECTRONICS AND COMMUNICATIONS CONFERENCE (OECC 2020), 2020,
[3] Node-Oriented Spectral Filtering for Graph Neural Networks
Zheng, Shuai
Zhu, Zhenfeng
Liu, Zhizhe
Li, Youru
Zhao, Yao
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 46 (01) : 388 - 402
[4] Traffic Prediction in Optical Networks Using Graph Convolutional Generative Adversarial Networks
Vinchoff, C.
Chung, N.
Gordon, T.
Lyford, L.
Aibin, M.
2020 22ND INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS (ICTON 2020), 2020,
[5] Network Traffic Overload Prediction with Temporal Graph Attention Convolutional Networks
Yu, Qiaohong
Wang, Huandong
Li, Tong
Jin, Depeng
Wang, Xing
Zhu, Lin
Feng, Junlan
Deng, Chao
2022 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), 2022, : 885 - 890
[6] Traffic Message Channel Prediction Based on Graph Convolutional Network
Li, Ning
Jia, Shuangcheng
Li, Qian
IEEE ACCESS, 2021, 9 : 135423 - 135431
[7] Multi-graph fusion based graph convolutional networks for traffic prediction
Hu, Na
Zhang, Dafang
Xie, Kun
Liang, Wei
Li, Kuanching
Zomaya, Albert
COMPUTER COMMUNICATIONS, 2023, 210 : 194 - 204
[8] Bayesian graph convolutional network for traffic prediction
Fu, Jun
Zhou, Wei
Chen, Zhibo
NEUROCOMPUTING, 2024, 582
[9] GTT-NTP: A Graph Convolutional Networks-Based Network Traffic Prediction model
Li, Longfei
Kim, Kyungbaek
PROCEEDINGS OF 2024 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM, NOMS 2024, 2024,
[10] A Node-Oriented Discrete Event Scheduling Algorithm Based on Finite Resource Model
Huang, Yu
Sheng, Wanxing
Jin, Peipei
Nie, Baicuan
Qiu, Meikang
Xu, Guangquan
JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING, 2019, 31 (03) : 67 - 82

← 1 2 3 4 5 →