异构网络容错数据缓冲区的替换概率模型研究  

Research on the Replacement Probability Model of Fault Tolerant Data Buffer In Heterogeneous Networks

作　　者：张程[1] 陈清 ZHANG Cheng;CHEN Qing(Institute of Technology,East China Jiaotong University,Nanchang Jiangxi 330100,China)

机构地区：[1]华东交通大学理工学院,江西南昌300100

出　　处：《计算机仿真》2020年第10期258-262,共5页Computer Simulation

基　　金：江西省教育厅科学技术研究项目(:GJJ191585)。

摘　　要：为提升异构网络的数据处理性能,解决传统缓冲区替换方法中命中率低的问题,提出容错数据缓冲区的替换概率模型。搭建异构网络环境,并在该网络下分析其容错能力;在异构网络的缓冲区中插入数据采集软件,实现对容错数据的采集,通过消除冗余数据、建立缓冲区数据检测模型以及聚类处理替换数据等步骤替换缓冲区数据,进而得出缓冲区替换概率模型的表达式。通过仿真得出结论,将涉及的异构网络容错数据缓冲区的替换概率模型应用到实际的替换工作中,在命中率和网络数据处理方面均具有较明显的优势。In order to improve the data processing performance of heterogeneous network and hitting accuracy, a model of replacement probability for fault-tolerant data buffer was proposed. Firstly, the heterogeneous network environment was constructed and its fault tolerance capability was analyzed. Secondly, the data collection software was inserted into the buffer of heterogeneous network to collect fault-tolerant data. After eliminating redundant data, establishing a buffer data detection model and clustering replacement data, the buffer data was replaced, and then the expression of the buffer replacement probability model was obtained. Simulation results show that the designed model is applied to actual replacement, the hitting accuracy and network data processing ability can be improved.

关 键 词：异构网络 容错数据 缓冲区 替换 概率模型 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]