This paper proposes DeepRMSA, a deep reinforcement learning framework for routing,
modulation and spectrum assignment (RMSA) in elastic optical networks (EONs) …

This paper proposes a self-taught anomaly detection framework for optical networks. The
proposed framework makes use of a hybrid unsupervised and supervised machine learning …

5G network slicing allows partitioning of network resources to meet stringent end-to-end
service requirements across multiple network segments, from access to transport. These …

In multi-domain elastic optical networks with alien wavelengths, each domain needs to
consider intradomain and interdomain alien traffic to estimate and guarantee the required …

The study of online routing and spectrum allocation (RSA) problem has assumed increasing
importance due to the exponential growth of dynamic traffic with uncertainty in elastic optical …

Nowadays, with the fast development of backbone networks, performance monitoring and
troubleshooting on IP-over-optical networks have become increasingly important. However …

In elastic optical inter-datacenter networks, multiple software-defined networking (SDN)
controllers have been used to improve scalability and reliability. The static controller …

In this work, we study the availability-aware survivable virtual network embedding (A-SVNE)
problem in optical interdatacenter networks that use wavelength-division multiplexing. With …

As the services in elastic optical networks (EONs) are bandwidth-intensive, unpredictable
and dynamic, increasing network factors are emerging to affect the performance of network …

Passive optical networks (PON) have become a promising solution for accessing networks
because of the advantages they offer, such as high efficiency, security, and cost reduction …