Title
Using Machine Learning for Intent-based provisioning in High-Speed Science Networks
Abstract
Smart and rapid provisioning of network resources that are easy to configure, monitor, and maintain is essential for high-speed network infrastructures. There is a need to allow users to interface directly with networks to easily navigate their use-cases, while not compromising network policies. This paper introduces EVIAN, a system designed to bridge the gap between user and network requirements. EVIAN is an intent rendering platform, that uses natural language processing to interact with users, gathers network requirements in an easy-to-talk English conversation, and translates these to network API calls.
Year
DOI
Venue
2020
10.1145/3391812.3396269
HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing Stockholm Sweden June, 2020
DocType
ISBN
Citations 
Conference
978-1-4503-7980-9
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Hocine Mahtout100.34
Mariam Kiran212117.83
Anu Mercian3625.90
Bashir Mohammed421.75