光纤网络中大数据多路加载调度方法  

Big data multi-loading scheduling method in fiber optic networks

作　　者：段红秀[1] 卜言彬[1] DUAN Hongxiu;BU Yanbin(Nanguang College,Communication University of China,Nanjing 210000,China)

机构地区：[1]中国传媒大学南广学院,南京210000

出　　处：《激光杂志》2020年第4期162-166,共5页Laser Journal

基　　金：江苏省高校自然科学研究面上(No.18KJD520006)。

摘　　要：传统方法对光纤网络大数据调度时,未进行分路加载,造成加载拥挤、传输时延过高等问题。引入多路加载技术,提出一种新的方法解决光纤网络中大数据调度问题。采用自适应比特信息流均衡控制技术构建大数据调度信道模型,通过数据分类属性进行大数据多路加载特征提取;在此基础上设计数据存储结构,计算大数据调度的信道均衡配置参量;通过多路加载方法实现大数据加载调度。仿真结果表明,采用多路加载方法进行光纤网络大数据调度时,大数据多路加载调度的均衡性较好,通信数据的输出稳定性可达88%,数据转发成功率较高,调度时延和误码率较低,具有较高的应用价值。When traditional methods are used to schedule big data in optical fiber networks,they do not carry out shunt loading,which results in load congestion and high transmission delay. In this paper,a new method to solve the problem of large data scheduling in fiber optic network is proposed by using multi-loading technique. Big data scheduling channel model is constructed by adaptive bit information flow balancing control technology. The feature extraction of big data multi-loading is realized according to the data classification attributes. On this basis,the data storage structure is designed and the channel equalization parameters of big data scheduling are calculated. Big data loading scheduling is realized by multi-loading method. The simulation results show that when the multi-loading method is used to schedule the big data in optical fiber network,the balance of multi-loading scheduling of the big data is good,the output stability of communication data can reach up to 88%,the success rate of data forwarding is high,the scheduling delay and the bit error rate are low,and it has high application value.

关 键 词：光纤网络 大数据 多路加载 均衡控制 数据转发 

分 类 号：TN911[电子电信—通信与信息系统]