Title
Intent-Based Orchestration of Network Slices and Resource Assurance using Machine Learning
Abstract
5G networks are aimed at provisioning of a wide range of sophisticated services with uninterrupted user experience. In addition, it is very challenging to manage all the services due the variety in the service requirement and a very large number of users causing dynamic changes in traffic streamed over the network. Currently, the networks are managed manually and requires experts to control the behavior of network. Due to increase in network domain it is an esteem requirement to manage and control network autonomously. In this paper we have introduced and Intent-Based networking approach which on one side abstracts and automates the network configuration also it assures the network resource state stability by using machine learning. We have used an IBN abstraction layer and M-CORD as an next generation testbed for the implementation of this work.
Year
DOI
Venue
2020
10.1109/NOMS47738.2020.9110408
NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium
Keywords
DocType
ISSN
IBN,ML,5G,M-CORD,OpenStack,OAI,ONOS
Conference
1542-1201
ISBN
Citations 
PageRank 
978-1-7281-4974-5
0
0.34
References 
Authors
1
6
Name
Order
Citations
PageRank
Talha Ahmed Khan166.76
Asif Mehmood232.86
Javier Jose Diaz Rivera343.58
Muhammad Afaq433.90
Khizar Abbas522.79
Wang-Cheol Song65425.56