Cross-domain service chain mapping mechanism based on Q-learning

A virtual service resources controlling architecture with regional centralized management and global coordinated scheduling was proposed for the problem of cross-domain service chain mapping in SDNFV environment. On this basis, an effective mapping framework was built and the cross-domain mapping pr...

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Main Authors: Hongqi ZHANG, Rui HUANG, Yingjie YANG, Dexian CHANG, Liancheng ZHANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2018-12-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018283/
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author Hongqi ZHANG
Rui HUANG
Yingjie YANG
Dexian CHANG
Liancheng ZHANG
author_facet Hongqi ZHANG
Rui HUANG
Yingjie YANG
Dexian CHANG
Liancheng ZHANG
author_sort Hongqi ZHANG
collection DOAJ
description A virtual service resources controlling architecture with regional centralized management and global coordinated scheduling was proposed for the problem of cross-domain service chain mapping in SDNFV environment. On this basis, an effective mapping framework was built and the cross-domain mapping problem was modeled as an ILP with the purpose of minimizing mapping cost. A partitioning algorithm was designed to solve the problem based on Q-learning mechanism under this framework. Simulation results show that the performances of this method are better than other traditional methods on average partition time, average mapping cost, and acceptance ratioof service chain mapping request.
format Article
id doaj-art-18cb8bafb0eb49f2b3088937eecb56bf
institution Kabale University
issn 1000-436X
language zho
publishDate 2018-12-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-18cb8bafb0eb49f2b3088937eecb56bf2025-01-14T07:15:58ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2018-12-013910211259722401Cross-domain service chain mapping mechanism based on Q-learningHongqi ZHANGRui HUANGYingjie YANGDexian CHANGLiancheng ZHANGA virtual service resources controlling architecture with regional centralized management and global coordinated scheduling was proposed for the problem of cross-domain service chain mapping in SDNFV environment. On this basis, an effective mapping framework was built and the cross-domain mapping problem was modeled as an ILP with the purpose of minimizing mapping cost. A partitioning algorithm was designed to solve the problem based on Q-learning mechanism under this framework. Simulation results show that the performances of this method are better than other traditional methods on average partition time, average mapping cost, and acceptance ratioof service chain mapping request.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018283/software defined networknetwork function virtualizationservice chainmappingreinforcement learning
spellingShingle Hongqi ZHANG
Rui HUANG
Yingjie YANG
Dexian CHANG
Liancheng ZHANG
Cross-domain service chain mapping mechanism based on Q-learning
Tongxin xuebao
software defined network
network function virtualization
service chain
mapping
reinforcement learning
title Cross-domain service chain mapping mechanism based on Q-learning
title_full Cross-domain service chain mapping mechanism based on Q-learning
title_fullStr Cross-domain service chain mapping mechanism based on Q-learning
title_full_unstemmed Cross-domain service chain mapping mechanism based on Q-learning
title_short Cross-domain service chain mapping mechanism based on Q-learning
title_sort cross domain service chain mapping mechanism based on q learning
topic software defined network
network function virtualization
service chain
mapping
reinforcement learning
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018283/
work_keys_str_mv AT hongqizhang crossdomainservicechainmappingmechanismbasedonqlearning
AT ruihuang crossdomainservicechainmappingmechanismbasedonqlearning
AT yingjieyang crossdomainservicechainmappingmechanismbasedonqlearning
AT dexianchang crossdomainservicechainmappingmechanismbasedonqlearning
AT lianchengzhang crossdomainservicechainmappingmechanismbasedonqlearning