Multiple Layer Resource Optimization for Optical as a Service
draft-multiple-layer-resource-optimization-08
| Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
|
|
|---|---|---|---|
| Authors | Hui Yang , Kaixuan Zhan , Ao Yu , Qiuyan Yao , Jie Zhang | ||
| Last updated | 2023-04-20 (Latest revision 2022-10-17) | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
| Formats | |||
| 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This Internet-Draft is no longer active.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.)