Communication networks are the key enabling technology for our digital society. In order to
sustain their critical services in the future, communication networks need to flexibly …

Paradoxically, with an ever-increasing traffic demand, today transport-network operators
experience a progressive erosion of their margins. The alarms of change are set, and …

Recent years, Software Defined Routers (SDRs)(programmable routers) have emerged as a
viable solution to provide a cost-effective packet processing platform with easy extensibility …

The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …

Traditional routing schemes usually use fixed models for routing policies and thus are not
good at handling complicated and dynamic traffic, leading to performance degradation (eg …

As emerging network technologies and softwareization render networks more flexible, the
question arises of how to exploit these flexibilities for optimization. Given the complexity of …

Recently, deep learning has emerged as an attractive technique to intelligently control
network traffic. However, the contemporary researches only focused on small-/medium-scale …

Deep learning is an emerged technique to predict future and intelligent mechanism to
monitor the process. Traffic Flow prediction is important function of collection traffic …

Network architecture innovation has been driven by virtualization and centralization of
network control based on software‐defined networking (SDN) and by network functions …

The growth of intra data center communications, cloud computing and multimedia content
applications force transport network providers to allocate resources faster, smarter and …