Summary
2021
Session Number:TS6
Session:
Number:TS6-2
Automating Web-Based Infrastructure Management via Contextual Imitation Learning_
Jieyu Lin, Hongxiang Geng, Alberto Leon-Garcia,
pp.184-189
Publication Date:2021/9/8
Online ISSN:2188-5079
DOI:10.34385/proc.67.TS6-2
PDF download (2.3MB)
Summary:
Web-based management dashboards provide intu- itive interfaces to support various infrastructure management tasks. However, the lack of programmability in these dashboards makes it difficult to automate management tasks. To address this limitation, we propose a system call MAIL (Management Automation through Imitation Learning) that learns from an operator’s demonstrations using imitation learning to automate management tasks on web-based dashboards. A novel Contextual Imitation Learning algorithm is proposed in MAIL to overcome the learning challenges brought by the requirements of infras- tructure management automation. The effectiveness of the MAIL system has been demonstrated using both synthetic environments and production environments. It outperforms existing methods and is able to achieve an 86%-100% success rate for most tasks.