面向海量数据处理的数据密集型计算发展研究  

Development Research on Data-Intensive Computing Towards Massive Data Processing

作　　者：李亢 刘东 

机构地区：[1]装备学院复杂电子系统仿真重点实验室,北京101416

出　　处：《四川兵工学报》2015年第7期93-96,共4页Journal of Sichuan Ordnance

基　　金：国家自然科学基金资助项目(60904082)

摘　　要：随着信息技术的发展和普及,当今社会的信息量呈现出爆炸式增长的趋势,数据信息在无论是在量上还是在增长速率上均相当惊人,数据密集型计算应运而生。数据密集型计算是指获取、存储和管理大规模数据集,并基于这些数据集进行计算和分析。概述了数据密集型计算的概念和特点,研究了数据密集型计算的数据并行和数据本地性的两个基本原理及应用情况,分析了数据密集型计算最新技术的国内外研究现状与发展趋势。With the development and popularization of information technology, the amount of information in today＇ s society has shown explosive growth trend. It is quite amazing in the data amount either or both in the increase in the rate, and then the data-intensive computing emerged. Data-intensive computing is a data center, and the system is responsible for obtaining, maintaining continuous change data sets, and while large-scale computing and processing on these data sets. This paper showed a brief overview of the concepts and features data-intensive computing and introduced the two basic principles of data parallelism, data locality and applications of data-intensive computing, and focused on the development status of data- intensive computing and the prospect of the development trend of its technology.

关 键 词：数据密集型计算 海量数据 数据探索模式 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]