Service chain mapping algorithm based on reinforcement learning
A service chain resource scheduling architecture of multi-agent based on artificial intelligence technology was proposed.Meanwhile,a service chain mapping algorithm based on reinforcement learning was designed.Through the Q-learning mechanism,the location of each virtual network element in the servi...
Saved in:
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2018-01-01
|
Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018002/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1841539421213556736 |
---|---|
author | Liang WEI Tao HUANG Jiao ZHANG Zenan WANG Jiang LIU Yunjie LIU |
author_facet | Liang WEI Tao HUANG Jiao ZHANG Zenan WANG Jiang LIU Yunjie LIU |
author_sort | Liang WEI |
collection | DOAJ |
description | A service chain resource scheduling architecture of multi-agent based on artificial intelligence technology was proposed.Meanwhile,a service chain mapping algorithm based on reinforcement learning was designed.Through the Q-learning mechanism,the location of each virtual network element in the service chain was determined according to the system status and the reward and punishment feedback after the deployment.The experimental results show that compared with the classical algorithms,the algorithm effectively reduces the average transmission delay of the service and improves the load balance of the system. |
format | Article |
id | doaj-art-51bbd3cbeaa3408f9fbad171441d89b2 |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2018-01-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-51bbd3cbeaa3408f9fbad171441d89b22025-01-14T07:14:07ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2018-01-01399010059715954Service chain mapping algorithm based on reinforcement learningLiang WEITao HUANGJiao ZHANGZenan WANGJiang LIUYunjie LIUA service chain resource scheduling architecture of multi-agent based on artificial intelligence technology was proposed.Meanwhile,a service chain mapping algorithm based on reinforcement learning was designed.Through the Q-learning mechanism,the location of each virtual network element in the service chain was determined according to the system status and the reward and punishment feedback after the deployment.The experimental results show that compared with the classical algorithms,the algorithm effectively reduces the average transmission delay of the service and improves the load balance of the system.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018002/network function virtualizationartificial intelligenceservice chainreinforcement learning |
spellingShingle | Liang WEI Tao HUANG Jiao ZHANG Zenan WANG Jiang LIU Yunjie LIU Service chain mapping algorithm based on reinforcement learning Tongxin xuebao network function virtualization artificial intelligence service chain reinforcement learning |
title | Service chain mapping algorithm based on reinforcement learning |
title_full | Service chain mapping algorithm based on reinforcement learning |
title_fullStr | Service chain mapping algorithm based on reinforcement learning |
title_full_unstemmed | Service chain mapping algorithm based on reinforcement learning |
title_short | Service chain mapping algorithm based on reinforcement learning |
title_sort | service chain mapping algorithm based on reinforcement learning |
topic | network function virtualization artificial intelligence service chain reinforcement learning |
url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018002/ |
work_keys_str_mv | AT liangwei servicechainmappingalgorithmbasedonreinforcementlearning AT taohuang servicechainmappingalgorithmbasedonreinforcementlearning AT jiaozhang servicechainmappingalgorithmbasedonreinforcementlearning AT zenanwang servicechainmappingalgorithmbasedonreinforcementlearning AT jiangliu servicechainmappingalgorithmbasedonreinforcementlearning AT yunjieliu servicechainmappingalgorithmbasedonreinforcementlearning |