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.