摘要
针对军用光网络中多请求的资源利用率低、频谱碎片化程度高的问题,通过分析光网络资源状态的感知与任务请求对光网络带宽资源的实际需求情况,基于网络的实时资源占用和空闲状态确定网络资源多维帧矩阵,分析任务请求的负载容量、路由跳数、频谱完整度和任务分裂度4个因素对资源分配的影响,利用资源多维帧矩阵计算k条路径的频谱复用率,选定最优分配的频谱。由仿真数据可知本算法降低了多任务请求阻塞率与频谱碎片化程度,提高了光网络频谱资源的利用率。
The problems of the low rate of utilization of multi-task request resource scheduling and the high degree of spectrum fragmentation in military optical network were solved in this paper.Conside-ring the multi-dimensional frame matrix of network resources based on the real-time resource occupancy and idle state of the network,the four factors of load capacity,route hops,spectrum integrity,and task splitting degree of task requests were analyzed in terms of the effect on resource allocation in accordance with the perception of optical network resource state and mission request of the actual demand of optical network bandwidth resources.The multi-dimensional frame matrix of network resources was used to compute the state of service requests and the spectrum reusability rate of k paths and select the optimal allocated spectrum.At last,simulation data shows that the algorithm reduces the degree of BBR and spectrum fragmentation of multi-task requests,and improves the utilization of spectrum resources in optical networks.
作者
田相轩
石志强
刘娟
吕莹
TIAN Xiangxuan;SHI Zhiqiang;LIU Juan;LYU Ying(Army Academy of Armored Forces, Beijing 100072, China)
出处
《火炮发射与控制学报》
北大核心
2021年第2期73-77,105,共6页
Journal of Gun Launch & Control
关键词
弹性光网络
频谱感知
优先级
频谱分裂
elastic optical network
cognitive spectrum
priority
spectrum fragmentation
