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Traffic load-aware dynamic energy-efficient routing strategy with spectrum reservation and load balance in elastic optical networks

机译：弹性光网络中具有频谱保留和负载平衡的流量感知负载动态节能路由策略

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摘要

For reducing the energy consumption in elastic optical networks (EONs) and mitigating the increasement of bandwidth blocking probability (BBP), a spectrum reservation and load balancing routing strategy (SRLBRS) is proposed. In SRLBRS, a spectrum state formula of node is designed to report the link spectrum usage of node-related links on the shortest path of traffic. Then, the node spectrum state can be determined by comparing the spectrum status of node-related links on the shortest path and average spectrum status in the EON. At the same time, the load state of candidate lightpath is decided by node spectrum state and available frequency slots of candidate lightpath. Available spectrum aware reservation grooming algorithm (ASARG) and load balancing routing algorithm (LBRA) are proposed and performed independently based on load state of candidate path. The ASARG focuses on energy saving by reserving lightpath dynamically according to available frequency slots of lightpath. While LBRA focuses on BBP by designing a lightpath cost formula, which is with respect to hops and spectrum continuity. Moreover, a balance index is designed to evaluate the balance between energy efficiency and blocking performance. Compared with the green grooming algorithms of distance-adaptive spectrum resource allocation (GGA + DASRA), simulation results show that the proposed SRLBRS can balance the energy consumption and blocking probability significantly. For instance in terms of balance index, our proposal achieved 57.9% better results averagely in a NSFNET topology.
机译：为了减少弹性光网络（EON）的能耗并减轻带宽阻塞概率（BBP）的增加，提出了一种频谱预留和负载平衡路由策略（SRLBRS）。在SRLBRS中，节点的频谱状态公式旨在报告最短流量路径上与节点相关的链路的链路频谱使用情况。然后，可以通过比较最短路径上的节点相关链路的频谱状态和EON中的平均频谱状态来确定节点频谱状态。同时，候选光路的负载状态由节点光谱状态和候选光路的可用时隙决定。提出了可用频谱感知预留修饰算法（ASARG）和负载均衡路由算法（LBRA），并根据候选路径的负载状态独立执行。 ASARG致力于通过根据光路的可用时隙动态保留光路来节省能源。而LBRA通过设计光程成本公式来关注BBP，该公式涉及跃点和频谱连续性。此外，设计了一个平衡指数来评估能效和阻塞性能之间的平衡。仿真结果表明，与基于距离的频谱资源分配的绿色疏导算法（GGA + DASRA）相比，本文所提出的SRLBRS能够显着平衡能耗和阻塞概率。例如，就平衡指数而言，我们的建议在NSFNET拓扑中平均可将结果提高57.9％。

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