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Multi-path pre-reserved resource allocation based on tidal traffic prediction in metropolitan optical network
Author(s): Kaixuan Zhan; Hui Yang; Ao Yu; Qiuyan Yao; Jie Zhang
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Paper Abstract

Human activities are highly predictable, so are the network traffic. It appears in a tidal phenomenon in traffic. Current resource allocation methods cannot adapt to tidal traffic, resulting in low resource utilization. To predicted tidal traffic, we have established a neural network model optimized by adaptive artificial fish swarm algorithm. Then we propose a novel multi-path pre-reserved resource allocation strategy to increase resource utilization. The results confirm the effectiveness of our method.

Paper Details

Date Published: 14 February 2019
PDF: 4 pages
Proc. SPIE 11048, 17th International Conference on Optical Communications and Networks (ICOCN2018), 110480U (14 February 2019); doi: 10.1117/12.2519522
Show Author Affiliations
Kaixuan Zhan, Beijing Univ. of Posts and Telecommunications (China)
Hui Yang, Beijing Univ. of Posts and Telecommunications (China)
Ao Yu, Beijing Univ. of Posts and Telecommunications (China)
Qiuyan Yao, Beijing Univ. of Posts and Telecommunications (China)
Jie Zhang, Beijing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 11048:
17th International Conference on Optical Communications and Networks (ICOCN2018)
Zhaohui Li, Editor(s)

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