Research of various intelligent multi-access edge computing deployment solutions based on NFV MANO
In order to solve the problems of the efficient synergy between the management orchestration components required for the deployment of the edge computing business and the NFV MANO components in the telecommunications cloud, this paper firstly analyzes the division of responsibilities and interaction...
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National Computer System Engineering Research Institute of China
2019-10-01
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doaj-5d320c8d8e5546598e877eb8667777942020-11-25T02:15:38ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982019-10-014510192410.16157/j.issn.0258-7998.1909883000109106Research of various intelligent multi-access edge computing deployment solutions based on NFV MANOWang Xuliang0Liu Zengyi1Hu Yajie2Li Tongyao3China Telecommunication Research Institute,Beijing 102209,ChinaChina Telecommunication Research Institute,Beijing 102209,ChinaInstitute of Information Photonics and Optical Communications,School of Information and Communication Engineering, Beijing University of Posts and Telecommunications,Beijing 100035,ChinaInstitute of Information Photonics and Optical Communications,School of Information and Communication Engineering, Beijing University of Posts and Telecommunications,Beijing 100035,ChinaIn order to solve the problems of the efficient synergy between the management orchestration components required for the deployment of the edge computing business and the NFV MANO components in the telecommunications cloud, this paper firstly analyzes the division of responsibilities and interaction processes between the management orchestration components of edge computing and telecommunications cloud. Secondly, based on the deep learning method and model, a solution is given to improve the management orchestration efficiency between the virtual network elements of the telecommunications cloud and the edge computing applications. Finally, the main issues and directions in this area are prospected.http://www.chinaaet.com/article/30001091065gmecnfvnfv mano |
collection |
DOAJ |
language |
zho |
format |
Article |
sources |
DOAJ |
author |
Wang Xuliang Liu Zengyi Hu Yajie Li Tongyao |
spellingShingle |
Wang Xuliang Liu Zengyi Hu Yajie Li Tongyao Research of various intelligent multi-access edge computing deployment solutions based on NFV MANO Dianzi Jishu Yingyong 5g mec nfv nfv mano |
author_facet |
Wang Xuliang Liu Zengyi Hu Yajie Li Tongyao |
author_sort |
Wang Xuliang |
title |
Research of various intelligent multi-access edge computing deployment solutions based on NFV MANO |
title_short |
Research of various intelligent multi-access edge computing deployment solutions based on NFV MANO |
title_full |
Research of various intelligent multi-access edge computing deployment solutions based on NFV MANO |
title_fullStr |
Research of various intelligent multi-access edge computing deployment solutions based on NFV MANO |
title_full_unstemmed |
Research of various intelligent multi-access edge computing deployment solutions based on NFV MANO |
title_sort |
research of various intelligent multi-access edge computing deployment solutions based on nfv mano |
publisher |
National Computer System Engineering Research Institute of China |
series |
Dianzi Jishu Yingyong |
issn |
0258-7998 |
publishDate |
2019-10-01 |
description |
In order to solve the problems of the efficient synergy between the management orchestration components required for the deployment of the edge computing business and the NFV MANO components in the telecommunications cloud, this paper firstly analyzes the division of responsibilities and interaction processes between the management orchestration components of edge computing and telecommunications cloud. Secondly, based on the deep learning method and model, a solution is given to improve the management orchestration efficiency between the virtual network elements of the telecommunications cloud and the edge computing applications. Finally, the main issues and directions in this area are prospected. |
topic |
5g mec nfv nfv mano |
url |
http://www.chinaaet.com/article/3000109106 |
work_keys_str_mv |
AT wangxuliang researchofvariousintelligentmultiaccessedgecomputingdeploymentsolutionsbasedonnfvmano AT liuzengyi researchofvariousintelligentmultiaccessedgecomputingdeploymentsolutionsbasedonnfvmano AT huyajie researchofvariousintelligentmultiaccessedgecomputingdeploymentsolutionsbasedonnfvmano AT litongyao researchofvariousintelligentmultiaccessedgecomputingdeploymentsolutionsbasedonnfvmano |
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1724894834511052800 |