Multi-path pre-reserved resource allocation based on tidal traffic prediction in metropolitan optical network

Kaixuan Zhan; Hui Yang; Ao Yu; Qiuyan Yao; Jie Zhang

doi:10.1117/12.2519522

14 February 2019 Multi-path pre-reserved resource allocation based on tidal traffic prediction in metropolitan optical network

Kaixuan Zhan, Hui Yang, Ao Yu, Qiuyan Yao, Jie Zhang

Author Affiliations +

Proceedings Volume 11048, 17th International Conference on Optical Communications and Networks (ICOCN2018); 110480U (2019) https://doi.org/10.1117/12.2519522
Event: 17th International Conference on Optical Communications and Networks (ICOCN2018), 2018, Zhuhai, China

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.

Citation Download Citation

Kaixuan Zhan, Hui Yang, Ao Yu, Qiuyan Yao, and Jie Zhang "Multi-path pre-reserved resource allocation based on tidal traffic prediction in metropolitan optical network", Proc. SPIE 11048, 17th International Conference on Optical Communications and Networks (ICOCN2018), 110480U (14 February 2019); https://doi.org/10.1117/12.2519522

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