Multiple Layer Resource Optimization for Optical as a Service
draft-multiple-layer-resource-optimization-02
Document | Type |
This is an older version of an Internet-Draft whose latest revision state is "Expired".
Expired & archived
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Authors | Hui Yang , Kaixuan Zhan , Ao Yu , Qiuyan Yao , Jie Zhang | ||
Last updated | 2020-04-30 (Latest revision 2019-10-28) | ||
RFC stream | (None) | ||
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Stream | Stream state | (No stream defined) | |
Consensus boilerplate | Unknown | ||
RFC Editor Note | (None) | ||
IESG | IESG state | Expired | |
Telechat date | (None) | ||
Responsible AD | (None) | ||
Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
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 prove the effectiveness of our method.
Authors
Hui Yang
Kaixuan Zhan
Ao Yu
Qiuyan Yao
Jie Zhang
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)