云平台下海量数据冲击中的可视化调度平台设计  

Design of visualization scheduling platform for mass data impact under cloud platform

作　　者：聂晶[1] 石中坚[2] 

机构地区：[1]南宁职业技术学院,广西南宁530008 [2]韩山师范学院,广东潮州521000

出　　处：《现代电子技术》2017年第8期107-109,共3页Modern Electronics Technique

基　　金：国家自然科学基金(60806046)

摘　　要：针对当前云平台调度中存在的问题,设计云平台下海量数据冲击中的可视化调度平台,其由海量数据采集模块、云平台模块和可视化调度模块组成。海量数据采集模块中的天线开始对海量数据进行采集和调频,并传递给数字信号处理器进行处理,其处理结果将传递给云平台模块。云平台模块利用Hadoop分布式计算技术,对海量数据采集模块的处理结果进行分析和计算,给出调度方案。调度方案将传递给可视化调度模块进行调度方案的可视化,以及调度工作的具体实施。平台软件对云平台模块中调度方案的产生流程进行设计。实验结果表明,所设计的平台拥有较好的计算性能和调度性能。Aiming at the probtems existing in the current cloud platform scheduling, a visualization scheduling platform for mass data impact under cloud platform was designed, which is composed of the mass data acquisition module, cloud platform module and visualization scheduling module. The antenna in mass data acquisition module carries out the acquisition and frequency modulation of mass data, and transmits the data to the digital signal processor for processing. The processing result is transmitted to the cloud platform module. The Hadoop distributed computing technology is used in the cloud platform module to analyze and calculate the processing result of the mass data acquisition module. The cloud platform module gives out a schedul- ing scheme. The scheduling scheme is transmitted to the visualization scheduling module to realize the scheduling scheme visual- ization and specific implementation of the dispatching work. The platform software is used to design the generation process of the scheduling scheme in the cloud platform module. The experimental result shows that the designed platform has perfect computa- tional performance and scheduling performance.

关 键 词：云平台 海量数据 可视化调度平台 HADOOP 

分 类 号：TN911-34[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]