摘要
传统分流算法具有负载平衡效果差、分流效率低等问题,为解决此问题,提出基于散列查找的分布式网络数据分流算法。建立分布式网络数据分流约束条件,得到数据分流的判断性依据;计算数据接收、发送、传输以及分流过程中的能量消耗;利用非线性数据的高维映射向量,构建数据分流的目标函数,通过判断方差值实现分布式网络数据的分流。以负载平衡效果和分流效率为依据,将所提方法和其他方法进行对比实验,结果表明,所提方法取得了最低的丢包率和最高的分流效率。
Because of the problems of poor load balancing effect and low efficiency of traditional streaming algorithms,a distributed network data streaming algorithm based on Hash lookup is proposed.This research establishes the constraint conditions of distributed network data diversion,obtains the judgment basis of data diversion,calculates the energy consumption in the process of data receiving,sending,transmitting and shunting and uses the high-dimensional mapping vector of non-linear data.And then the objective function of data streaming is constructed,and the distributed network data streaming is realized by judging the variance value.In the comparative simulation experiment,based on the load balancing effect and shunt efficiency,the proposed method is compared with other methods,and the results show that the proposed method achieves the lowest packet loss rate and the highest shunt efficiency.
作者
梁鑫龙
徐永贵
史君
LIANG Xinlong;XU Yonggui;SHI Jun(Department of Information,Zibo Normal College,Zibo 255100,China)
出处
《新乡学院学报》
2023年第12期26-30,共5页
Journal of Xinxiang University
关键词
散列查找
分布式网络数据
高维映射向量
能量消耗
目标函数
hash lookup
distributed network data
high dimensional mapping vector
energy consumption
objective function
