An approach for simultaneous modulation format identification (MFI) and optical signal-to-
noise ratio (OSNR) monitoring in digital coherent optical communications is proposed based …

The constantly increasing traffic volume triggers the fast development of new optimization
methods for backbone optical networks. Operators seek new ways to improve several …

Geo-distributed machine learning (Geo-DML) adopts a hierarchical training architecture that
includes local model synchronization within the data center and global model …

The optical network plays a vital role in the current technology for providing high-speed data
communication, which the networks operate at Tb/s. In this case, different modulation …

With the increasing demand for dynamic cloud computing services, data center
interconnections based on elastic optical networks (DCI-EON) require efficient allocation …

The constantly increasing internet traffic and rising network requirements trigger fast
development and implementation of new networking architectures and technologies …

Relentless competition among communications ser-vice providers, increasing expectations
of users, and escalating variety of new applications and services trigger the need to develop …

The computing power network (CPN) is expected to realize the efficient provisioning of
heterogeneous computing power through the collaboration between cloud computing and …

The mixed flow in multi-tenant data centers presents a challenge for priority flow scheduling
due to the coexistence of various requirements such as latency and throughput. To address …

With the ever-increasing traffic load, the prediction of future traffic patterns can bring
significant benefits to network optimization. The appropriate choice of a forecasting model is …