Multiple Layer Resource Optimization for Optical as a Service
draft-multiple-layer-resource-optimization-02

The information below is for an old version of the document
Document Type Expired Internet-Draft (individual)
Authors Hui Yang  , Kaixuan Zhan  , Ao Yu  , Qiuyan Yao  , Jie Zhang 
Last updated 2020-04-30 (latest revision 2019-10-28)
Stream (None)
Intended RFC status (None)
Formats
Expired & archived
pdf htmlized (tools) htmlized bibtex
Additional Resources
Stream Stream state (No stream defined)
Consensus Boilerplate Unknown
RFC Editor Note (None)
IESG IESG state Expired
Telechat date
Responsible AD (None)
Send notices to (None)

This Internet-Draft is no longer active. A copy of the expired Internet-Draft can be found at
https://www.ietf.org/archive/id/draft-multiple-layer-resource-optimization-02.txt

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 (yang.hui.y@126.com)
Kaixuan Zhan (zhankai@bupt.edu.cn)
Ao Yu (yuao@bupt.edu.cn)
Qiuyan Yao (yqy89716@bupt.edu.cn)
Jie Zhang (lgr@bupt.edu.cn)

(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)