Multiple-period planning of Internet Protocol-over-Elastic Optical Networks

Abstract

In view of both the growing dynamic traffic and increasing costs, in future, network operators will have to adopt a multi-period network planning technique that aims to jointly account for the upgrade of both the network, and the optical and the IP edges. In the current work, for an IP-over-Elastic Optical Network, we propose a multilayer network planning technique that is multi-period in nature, i.e. the approach relies on efficient forecasts for a short-term increase in the volume. We formulate the problem as an integer linear programme with the aim of reducing the (i) capital expenditure (CapEx)by minimizing the addition of any equipment every period and (ii) operational expenditure (OpEx)by minimizing any displacement(s) of the equipment and reconfiguration(s) in successive periods. We conduct extensive simulations considering realistic networks to validate the proposed network planning technique. The obtained results demonstrate that the proposed technique is able to trade off the network equipment reconfiguration for the CapEx.

On routing, modulation format, space and spectrum allocation with protection in space division multiplexing-based elastic optical networks

“…For the simulations, following our previous study (Iyer & Singh, 2019), we use two realistic network topologies viz., Deutsche Telekom (DT) and Telefónica (TID) as shown in Figure 2, with their various dimensional values shown in Table 4.…”

“…The ever-growing diverse traffic and its related bandwidth requests have rendered the optical networks (OTNs) limited by capacity (Agrell et al, 2016). With the introduction of elastic optical networks (EONs), the needs for large capacity and heterogeneous granularity in traffic of the next-generation OTNs can be satisfied (Iyer & Singh, 2019). However, owing to its use of only two multiplexing dimensions, (Winzer, 2012) has envisioned that the EONs will also result in a crunch of the fibre capacity.…”

Análise Sobre Redes Ópticas com Heurísticas de Roteamento, Modulação e Alocação de Espectro para Tráfego Incremental

“…[Soumplis et al 2017] apresentou um algoritmo para fazer o planejamento de redes em condições de tráfego incremental e mostrou até 36% de melhoras em gastos. [Iyer and Singh 2018] propôs formulações de ILP para minimizar o custo de operação em redes multicamadas, considerando tráfego incremental. Esses trabalhos mostram resultados promissores para o estudo de redes elásticas em regime multiperíodo.…”

Combination of Advanced Reservation and Resource Periodic Arrangement for RMSA in EON with Deep Reinforcement Learning

“…Determining spectrum allocation regulations might influence future increases in internet traffic and pricing. As a result, network operators have a difficult task since they must employ multi-period network planning approaches in order to improve the quality of service in the operator's network [17]. For example, the use of first-last-fit (LF) spectrum allocation in Elastic Optical Networks (EON) can lower the blocking probability [18].…”