Heuristic Approaches for Dynamic Provisioning in Multi-Band Elastic Optical Networks

Abstract

Multi-band elastic optical networks are a promising alternative to meet the bandwidth demand of the ever-growing Internet traffic. In this letter, we propose a family of band allocation algorithms for multi-band elastic optical networks. Employing simulation, we evaluate the blocking performance of 3 algorithms of such a family and compare their performance with the only heuristic proposed to date. Results show that the three new algorithms outperform the previous proposal, with up to one order of magnitude improvement. We expect these results to help advance the area of dynamic resource allocation in multi-band elastic optical networks.

Análise do Impacto de Penalidades Físicas na Banda C para uma Rede Óptica Elástica

“…Foram considerados o ruído ASE, a mistura de quatro ondas e o SRS nas bandas O, S, C e L. Em [12], Sadeghi et al propuseram diferentes algoritmos de alocação de nós translúcidos com o objetivo de minimizar o consumo de energia nas bandas de transmissão S, C, L e U. Paz et al [13] fizeram um estudo sobre o alcance máximo da propagação dos sinais ópticos em um ambiente multibanda para uma variedade de formatos de modulação com valores de taxa de erro por bit comumente usados em EONs. Calderón et al [14] propuseram três algoritmos para atribuição de bandas de transmissão, considerando as bandas E, S, C e L. Morales et al [15] propuseram um esquema, baseado em aprendizagem por reforço, para resolver o problema do roteamento, atribuição de banda de transmissão, formato de modulação e espectro, considerando as bandas E, S, C e L. Sheik et al [16] propuseram um esquema de provisionamento de recursos baseado em aprendizagem profunda por reforço, considerando as bandas E, S, C e L.…”

Dynamic resource allocation in different ultrawideband optical network topologies

“…The first, used as a baseline, was proposed in [2]. The other two correspond to the best performing heuristics proposed in [3], named V1 and V3. They rely on an off-line stage that divides the connection requests into sets and subsequently associates each set to a given band order.…”

“…Recent studies have introduced strategies to perform the above-described task. These include heuristic approaches [2], [3], and the use of deep reinforcement learning [4]. To date, the best performing approaches are the heuristics proposed in [3].…”

“…These include heuristic approaches [2], [3], and the use of deep reinforcement learning [4]. To date, the best performing approaches are the heuristics proposed in [3]. However, they were evaluated using a single topology.…”

Network upgrade exploiting multi band: S- or E-band?

“…Such aspect has not be deeply investigated in the literature in the context of networking studies. Indeed, although SRS is typically taken into account, the major part of the contributions (e.g., [2,[21][22][23]) focuses on provisioning schemes or -in general -on resource allocation schemes, highlighting the increase of network capacity when exploiting multi band, rather than analyzing upgrading and operational issues, such as the degradation of already active channels when activating an additional band.…”