© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Machine Learning (ML) brings many benefits for network operation. In this paper, basic ML concepts and its integration into existing network control and management planes are reviewed. Case studies covering fault management are illustrated.Peer ReviewedPostprint (author's final draft
Today?s telecommunication networks have become sources of enormous amounts of widely heterogeneous d...
This paper surveys the literature relating to the application of machine learning to fault managemen...
Machine Learning (ML) is being widely investigated to automate safety-critical tasks in optical-netw...
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Effective fault management is essential for qualityof- service assurance in optical networks. Conven...
Failure management plays a role of capital importance in optical networks to avoid service disruptio...
Networks are complex interacting systems involving cloud operations, core and metro transport, and m...
After an overview on main concepts of machine learning, we discuss use cases in optical networks fai...
Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications that solve p...
This paper surveys the literature relating to the application of machine learning to fault managemen...
Today?s telecommunication networks have become sources of enormous amounts of widely heterogeneous d...
This paper surveys the literature relating to the application of machine learning to fault managemen...
Machine Learning (ML) is being widely investigated to automate safety-critical tasks in optical-netw...
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Effective fault management is essential for qualityof- service assurance in optical networks. Conven...
Failure management plays a role of capital importance in optical networks to avoid service disruptio...
Networks are complex interacting systems involving cloud operations, core and metro transport, and m...
After an overview on main concepts of machine learning, we discuss use cases in optical networks fai...
Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications that solve p...
This paper surveys the literature relating to the application of machine learning to fault managemen...
Today?s telecommunication networks have become sources of enormous amounts of widely heterogeneous d...
This paper surveys the literature relating to the application of machine learning to fault managemen...
Machine Learning (ML) is being widely investigated to automate safety-critical tasks in optical-netw...