On the Evaluation of Complex Networks Designs for an Energy-Efficient IP/WDM Core Network

Abstract

As the Internet grows in capacity, the energy consumption of Information and Communication Technologies (ICT) are significantly increasing. Significant research efforts on energy conservation have been devoted to devise different technological solutions to address raised concerns surrounding the power consumption of networking equipment and its impact firstly on the emission of greenhouse gases and secondly on electricity bills. In this work, we investigate energy-efficient physical topologies for NSF IP over wavelength-division multiplexing (WDM) network for the purpose of minimizing energy consumption by redesigning its current physical connectivity. We implement different network topologies, such as implementing the small-world, scale-free (SFN), and random networks on the NSF network, then evaluate and compare its physical properties and network power consumption with the current NSF topology design using a mixed-integer linear programming model, all with the aim of minimizing the network total power consumption. The evaluation shall optimize and minimize the embodied energy consumption of network equipment in the IP and optical layers. Results have demonstrated that the implementation of the proposed energy-minimized topology designs can significantly improve the node’s clustering coefficient, reduce network’s diameter, and reduce energy consumption of the NSF IP over WDM network to 28% if compared with the current design implementation.

Earthquake-Tolerant Energy-Aware Algorithm for WDM Backbone Network

“…In [26], the authors introduced a hybrid architecture of the WDM network combining free space optics (FSO) and single-mode fiber (SMF)-based optics and achieved a significant reduction in energy consumption. Furthermore, in [27], the authors used a mixed-integer linear programming (MILP) model to compare different network topologies and optimize and minimize the embodied energy consumption of network equipment in the IP and optical layers. The authors of [28] presented a thorough examination of advancements in strategies aimed at enhancing the energy efficiency across various categories of networks.…”