A New Strategy for Energy Saving in Spectrum-Sliced Elastic Optical Networks †

In this paper, we propose a new approach for energy saving in Elastic Optical Networks (EONs) under physical impairments based on MILP solving instances. First, we seek to maximize the attended traffic on the network whereas the blocking probability is maintained below a defined limit. Hence, the next step is to minimize the power consumption on the network. The proposed MILP-based algorithm models the RMLSA problem and considers transponders, optical cross-connects (OXCs), and optical amplifiers as the physical components with influence on network optimization. The results show that our approach offers, on average, a reduction of up to 7.7% of the power consumed on the four moderate networks analyzed

Iterative Optimization in VTD to Maximize the Open Capacity of WDM Networks

Abstract – We propose an iterative algorithm for the Virtual Topology Design (VTD) in optical networks. The algorithm eliminates lighter traffic lightpaths and re-arrange the traffic through the remaining lightpaths. This tries to preserve the open capacity for the accommodation of future unknown demands. The results suggest that it is feasible to preserve enough open capacity to avoid blocking of future requests in networks with scarce resources; this is, maximize the traffic scaling.

WDM Mesh Networks under Limitations in the Number of Transceivers per Node

In this paper we study how the performance (in terms of blocking probability) of optical mesh networks depends both on the number of wavelengths available per link and the number of transceivers in each node. These studies have been conducted based both on analytical models and on simulations. A related simulation based study on the impact of the number of transceivers and their tuneability will be also reported for several RWA algorithms