In this paper, a novel energy-aware grooming-based algorithm, named energy minimization algorithm (EMA), is proposed that aims at providing the quality of service requirements in elastic optical networks in terms of network energy efficiency and requests blocking probability. To this end, EMA divides the incoming requests into high priority and low priority requests and applies fragmentation and squeezing mechanisms on the low priority traffic to alleviate the blocking probability of high priority requests. Moreover, EMA proposes a novel mechanism to select the optimal paths in the routing phase so that the network energy consumption is minimized. The simulation results reveal that the proposed EMA improves the network energy efficiency and mitigates the requests blocking probability.

在本文中，提出了一种新的基于能量感知疏导的算法，称为能量最小化算法（EMA），旨在在网络能量效率和请求阻塞概率方面提供弹性光网络中的服务质量要求。为此，EMA 将传入的请求分为高优先级和低优先级请求，并对低优先级流量应用分片和挤压机制，以减轻高优先级请求的阻塞概率。此外，EMA 提出了一种新颖的机制来在路由阶段选择最佳路径，从而最大限度地减少网络能耗。仿真结果表明，所提出的 EMA 提高了网络能源效率并降低了请求阻塞概率。