Elastic optical network has recently been deemed as a promising infrastructure to support the ever-increasing bandwidth demand of emerging applications, due to its high transmission rate, fine-grained and flexible spectrum allocation. With the explosive growth of traffic, optimizing energy and spectrum efficiency has become a critical issue for green elastic optical networks, which is closely related to the sustainable development of cloud services. This paper focuses on joint optimization of energy and spectrum efficiency for virtual optical network embedding in elastic optical networks. A heuristic algorithm, termed ESE, is presented to improve energy and spectrum efficiency while keeping a high acceptance rate. With consideration of factors influencing energy and spectrum efficiency, a feasible shortest path is preferred; meanwhile, an appropriate modulation format is dynamically selected according to transmission distance and the trade-off between energy and spectrum consumption. To improve the acceptance rate of virtual network requests, a dual mapping is employed to reinforce the embedding process by multi-dimensional resources integrated mapping. The simulation results show that the proposed algorithm can achieve a joint energy and spectrum efficiency with a much lower blocking probability compared with two baseline algorithms.

弹性光网络由于其高传输速率，细粒度和灵活的频谱分配，最近被认为是一种有前途的基础架构，可满足新兴应用不断增长的带宽需求。随着流量的爆炸性增长，优化能源和频谱效率已成为绿色弹性光网络的关键问题，这与云服务的可持续发展密切相关。本文将重点放在虚拟光网络嵌入弹性光网络中的能量和频谱效率的联合优化上。提出了一种称为ESE的启发式算法，以提高能量和频谱效率，同时保持较高的接受率。考虑到影响能量和频谱效率的因素，首选可行的最短路径；与此同时，根据传输距离以及能量和频谱消耗之间的权衡，动态选择合适的调制格式。为了提高虚拟网络请求的接受率，采用双重映射通过多维资源集成映射来加强嵌入过程。仿真结果表明，与两种基线算法相比，所提算法能够以较低的阻塞概率实现联合能量和频谱效率。