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基于并行脚本的大数据信息云化技术研究

Research on Clouding Technology based on Parallel Scripting for Big Data
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摘要 用于大数据云化的应用将会是具有高速数据处理能力的、以数据为核心的应用。本文提出一种基于并行脚本的大数据信息云化技术,可用于未来各种通信介质下的大数据云化应用。本文基于对已有研究的评估,提出了采用并行方式处理脚本,并引入多个云来增强未来云化应用的潜在客户数据安全性。经过仿真验证表明,所提算法有效实现了基于多个云的并行脚本处理,可作为未来该领域技术应用参考。 The applications used for cloud big data processing will be compute and data centric. A Clouding Technology based on Parallel Scripting for Big Data (CTPS) is proposed in this paper, for future application in cloud big data processing. Based on the evaluation of current work, CTPS introduces parallel scripting, and uses multiple clouds to ensure the security of potential users. Simulation proves that CTPS realized multiple cloud based parallel script processing. CTPS could be used as a reference for future study in this area.
作者 夏丽珍
出处 《激光杂志》 北大核心 2016年第10期121-124,共4页 Laser Journal
基金 河南科技计划项目(14ZCDGSF0004)
关键词 并行脚本 云计算 大数据 parallel scripting cloud computing big data
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