流量疏导对高效节能的光网络有重大的意义。在弹性光网络传输速率不断提高的背景下，为减轻IP路由器日益增长的电流量疏导负担，可分割带宽可调转发器（SBVT）被提出。由于该转发器可以产生多个子光信道，光疏导技术就可以选择任意子光路进行交换和上下路而不必将整个超级信道转换为电信号。光疏导配合电疏导将显著减少路由器转发数据包的数量，从而为节约网络设备和能源提供机会。鉴于光电联合疏导的研究刚刚起步，本项目将根据实际系统的限制，考虑波长连续性和频谱连续性约束，采用整数线性规划和粒子群优化来研究静态的光电联合疏导问题，采用启发式算法来研究动态光电联合疏导问题，揭示光疏导和电疏导在网络节能和频谱碎片整理中的相互作用机制，为未来光电联合疏导的应用奠定基础。

Traffic grooming is very important for energy efficient optical networks. As the transmission speed of elastic optical networks keeps increasing, the sliceable bandwidth–variable transponder (SBVT) is proposed for alleviating the increasing electronic traffic grooming burden of IP routers. The SBVT can be logically sliced into multiple sub-transponders and each sub-transponder can generate a sub-channel. Therefore, optical traffic grooming can switch or add/drop one of the sub-channels without converting the whole optical super-channel into electronic signals. With optical traffic grooming and electronic traffic grooming technology, the network will significantly decrease the volume of packets switched by routers, which will give a chance to save equipment and energy. As electronic and optical traffic grooming is a new research area, this project will study this problem considering the limitation of the real system. Under the constraint of wavelength continuity and spectrum continuity, this project will study the static optical and electronic traffic grooming problem using integer linear programming (ILP) and particle swarm optimization (PSO) method, and study the dynamic traffic grooming problem by proposing new heuristic algorithms. We will try to reveal the relationship between the optical traffic grooming and electronic traffic grooming for saving network energy and minimizing spectrum defragmentation. This will be the foundation of the implementation of optical and electronic traffic grooming in real systems.