5 papers
Adaptive E2E Monitoring Path Selection with Deep Reinforcement Learning in Multi-domain Optical Networks
Soham Choudhury, Martin Bojinov, Jason P. Jue +1
Network slicing over multi-domain optical networks enables resource isolation for high-bandwidth, virtually-dedicated networks. However, guaranteeing end-to-end (E2E) performance r…
RL-based Network Slice Embedding over Space Division Multiplexed Elastic Optical Networks
Divya Khanure, Riti Gour†, Congzhou Li +1
Network slicing over space-division-multiplexed elastic optical networks (SDM-EONs) requires jointly managing spectrum, spatial cores, and compute resources, a coupling that many e…
Network Slice Embedding over Space Division Multiplexed Elastic Optical Networks
Divya Khanure, Riti Gour, Congzhou Li +1
Network slicing over space division multiplexed elastic optical networks (SDM EONs) enables efficient multiservice provisioning on a shared optical substrate. However, embedding su…
Multi-domain Network Slice Partitioning: A Graph Neural Network Algorithm
Zhouxiang Wu, Genya Ishigaki, Riti Gour +3
In the context of multi-domain network slices, multiple domains need to work together to provide a service. The problem of determining which part of the service fits within which d…
A Multi-Agent Reinforcement Learning Scheme for SFC Placement in Edge Computing Networks
Congzhou Li, Zhouxiang Wu, Divya Khanure +1
In the 5G era and beyond, it is favorable to deploy latency-sensitive and reliability-aware services on edge computing networks in which the computing and network resources are mor…