云计算平台下的大数据分流系统的设计研究  

Design and research of large data diversion system based on cloud computing platform

作　　者：解艳[1] XIE Yan(Baoji Vocational & Technical College,Baoji 721013,China)

机构地区：[1]宝鸡职业技术学院,陕西宝鸡721013

出　　处：《电子设计工程》2019年第9期119-122,共4页Electronic Design Engineering

摘　　要：基于云计算平台下大数据分流目的的需求,本次研究将以此为背景,提出与传统功能不同的方法设计大数据分流系统平台,设计在整个系统当中包含的不同模块,融入控制器模块、数据存储、电源管理以及通信模块等,再采取信息特征并完成调度。最后以Linux系统为基础,开展软件开发及优化设计,并通过仿真实验来验证其结果。结果显示优化后的系统数据分流延迟时间为16ms比传统算法33ms明显更低。因此可以在今后采用优化方法设计大数据分流系统,可以减少延迟时间,提高效率。Based on the demand for large data diversion purposes under the cloud computing platform,this study will take this as the background to design a large data distributary system platform which is different from the traditional functions,design the different modules contained in the whole system,and integrate into the controller module,data storage,power management and communication module,etc.Then the information feature is taken and the scheduling is completed. Finally,based on the Linux system,the software development and optimization design is carried out,and the results are verified by simulation experiments. The result shows that the optimized system data shunting delay time is 16 ms,which is significantly lower than the traditional algorithm 33 ms. Therefore,the optimization method can be used to design large data shunting system in the future,which can reduce delay time and improve efficiency.

关 键 词：云计算 大数据 分流系统 设计 仿真试验 

分 类 号：TN99[电子电信—信号与信息处理]