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We have recently proposed and demonstrated, by means of simulation, the benefits of a simple yet effective cognitive technique to enhance stateless Path Computation Element (PCE) algorithms with the aim of reducing the connection blocking probability when relying on a potentially non up-to-date Traffic Engineering Database (TED). In this paper, we validate and analyse its performance in an emulation...
An emulation study has been carried to demonstrate the benefit of a proactive restoration technique in cognitive heterogeneous optical networks. Results show the advantages of that method in terms of recovery percentage and disruption time.
In this paper, we present a new version of a multiobjective genetic algorithm to design virtual topologies with the aim of reducing both the energy consumption and the network congestion. Moreover, we also propose an improved version of that algorithm, by including two cognitive techniques. Unlike the original version, the new proposals design survivable virtual topologies, as they provide shared...
“Greening the Internet” is an important research topic in the last years. The Internet capacity and energy consumption have increased, and the utilization of design and operation techniques to reduce this consumption are a must. In this paper, we present a multiobjective genetic algorithm to design virtual topologies for reconfigurable wavelength-routed optical networks with the aim of reducing both...
A cognitive system is proposed to quickly estimate the Quality of Transmission (QoT) of lightpaths in optical networks. It achieves more than 99% successful classifications of lightpaths into high or low QoT categories.
This paper demonstrates the advantages of using cognition when solving impairment-aware virtual topology design problems. Two new multiobjective cognitive genetic algorithms are presented and a performance comparison between them and a non-cognitive method is shown.
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