Abstract
The flexible nature of elastic optical networks allows advanced resource management. Algorithms facilitating the procedure of resource allocation can provide connectivity that is energy-efficient. Also, the network's performance is slightly affected and remains at a high level. There are innovative developments during the last years concerning the physical layer that increase the performance even further. Such a technique which provides spectrum sharing is called Signal Overlap. Specifically, the modulation includes two independent data flows that rely on the same spectrum resources and propagate combined in the optical fiber. When energy-efficient algorithms are designed to exploit the Signal Overlap technique for building the virtual topology of the network, less energy-consuming components operate in the network. This procedure also preserves the performance at a stable level. In this paper, the Signal Overlap technique is used to design a new algorithm that increases energy efficiency in elastic optical networks. To the best of authors' knowledge, it is the first time that the Signal Overlap technique is used for that purpose. Also, the execution time is low upon mid-to-large topologies, so the algorithm is candidate for real-time execution.
Highlights
Power consumption is constantly increasing since the requirements of Information and Communication Technology (ICT) follow a similar trend [1]
Every slice has its own spectrum range according to its modulation format
The Signal Overlap capability is presented under the perspective of saving power in elastic optical backbone and metro networks
Summary
Power consumption is constantly increasing since the requirements of Information and Communication Technology (ICT) follow a similar trend [1]. The process of establishing lightpaths in an optical network under the perspective of energy-efficiency, achieves two goals at the same time, i.e., low power consumption and preservation of performance levels. This phase is resource-sensitive and requires extensive simulation for evaluation purposes. The evaluation is carried out under realistic topologies for metro and backbone networks that cover a wide range of modern connectivity needs Another contribution is the execution time of the algorithm which is low, i.e., a design decision that makes it suitable for allocating resources under realistic network conditions in real-time execution scenarios. The Selene algorithm along with the network model are covered in Section III and simulation results follow (Section IV)
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