Today's telecommunication networks have become sources of enormous amounts of widely
heterogeneous data. This information can be retrieved from network traffic traces, network …

With the widespread adoption of the Internet of Things (IoT), the number of connected
devices is growing at an exponential rate, which is contributing to ever-increasing, massive …

Based on a variety of long-term network traffic data from different geographies and
applications, in addition to long-term scaling trends of key information and communication …

Flexgrid technology is now considered to be a promising solution for future high-speed
network design. In this context, we need a tutorial that covers the key aspects of elastic …

The emerging software defined networking (SDN) paradigm separates the data plane from
the control plane and centralizes network control in an SDN controller. Applications interact …

Software defined networking (SDN) has emerged as a promising paradigm for making the
control of communication networks flexible. SDN separates the data packet forwarding …

This article discusses the technologies for realizing highly efficient data migration and
backup for big data applications in elastic optical inter-data-center (inter-DC) networks. We …

Bandwidth fragmentation, a serious issue in elastic optical networks (EONs), can be
suppressed by proper management in order to enhance the accommodated traffic demands …

Optical performance monitoring (OPM) is the estimation and acquisition of different physical
parameters of transmitted signals and various components of an optical network. OPM …

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