Beghelli Zapata, Alejandra;
Doherty, Michael;
(2023)
Deep Reinforcement Learning for Infrastructure as a Service over Flexible Optical Networks.
In:
Proceedings of the 49th European Conference on Optical Communications.
IET (Institution of Engineering and Technology): Glasgow, UK.
(In press).
Preview |
Text
ECOC2023___DRL_for_IaaS.pdf - Submitted Version Download (286kB) | Preview |
Abstract
We apply a single deep reinforcement learning agent for dynamic virtual network provisioning. Benchmarked against state of the art heuristics, our approach achieves an order of magnitude lower blocking probability. Interpretability analysis provides insight to the agent’s use of spectrum resources.
| Type: | Proceedings paper |
|---|---|
| Title: | Deep Reinforcement Learning for Infrastructure as a Service over Flexible Optical Networks |
| Event: | 49th European Conference on Optical Communications |
| Location: | Glasglow, UK |
| Dates: | 1st-5th October 2023 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://ecoc2023.theiet.org/ |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10173337 |
Archive Staff Only
 |
View Item |
