摘要
针对传统的计算机数据处理规模单一、自适应并行计算程度较差的问题,提出一种云计算技术的多源信息加速数据处理方法,分析云计算技术在计算机数据处理中的应用,采用云计算速度动态优化技术构建云计算的多源信息数据流应用程序动态调节模型,降低云计算的能量开销,结合数据处理用户的体验,在云计算环境下聚集各种应用类资源,进行资源重构、分析、整合及匹配,提高计算机数据处理能力,形成一套具有普适性、基础性的云计算数据处理服务模式,解决用户的大规模数据计算和资源并行调度问题。该模型能支持云中多用户计算实体共享,提高数据流应用程序的运行效率,降低计算机数据处理的能量开销。
:According to the traditional single scale computer data, adaptive processing of prarallel computing is less, this paper proposes a cloud computing technology of multi-source information acceleration data processing meth- od. It analyzes the application of cloud computing technology in, uses velocity dynamic optimization cloud computing technology to build dynamic adjusting model based on multi- information data flow application, reduces the energy cost, processes the users' experience combined with the data, aggregates various application resources in the cloud en- vironment and reconstructs, analyzes, integrates and matches the resources to improve the data processing ability. And form a set of universal and fundamental data processing service model based on cloud computing to solve large scale da- ta computing and parallel resource scheduling problem. The model supports the sharing of multi-users' computing en- tities in the cloud, improves the running efficiency of data flow application, and reduces the energy cost of the data processing.
作者
李海燕
欧晓勇
LI Hai-yan OU Xiao-yong(Chongqing Engineering College, Chongqing 400000,Chin)
出处
《激光杂志》
北大核心
2017年第4期80-84,共5页
Laser Journal
基金
重庆市教育科学"十三五"规划2016年度规划课题(渝教规办【2016】11号)(2016-GX-153)
关键词
云计算技术
计算机数据处理
信息
调度
开销
cloud computing technology
computer data processing
information
scheduling
overhead