Field Trial of Monitoring On-Demand at Intermediate-Nodes Through Bayesian Optimization

Fanchao Meng, Alex Mavromatis, Yu Bi, Shuangyi Yan, Rui Wang, Yanni Ou, Reza Nejabati, Dimitra Simeonidou

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

356 Downloads (Pure)

Abstract

We demonstrate an intelligent monitoring on-demand switching strategy at network nodes based on Bayesian optimization. It is shown that our proposed method achieves identical monitoring capability as complete system exploration while saving a lot of data.
Original languageEnglish
Title of host publication2018 Optical Fiber Communications Conference and Exposition (OFC)
Number of pages3
ISBN (Electronic)978-1-943580-38-5
DOIs
Publication statusPublished - 2018

Keywords

  • intelligent monitoring on-demand switching strategy
  • Bayesian optimization
  • intermediate-node monitoring

Fingerprint

Dive into the research topics of 'Field Trial of Monitoring On-Demand at Intermediate-Nodes Through Bayesian Optimization'. Together they form a unique fingerprint.

Cite this