计算密集型海量数据查询处理关键技术分析  

Query Processing Key Technology of Massive Data-Intensive Computing

作　　者：李俭[1] 郭川军[1] 姜微 

机构地区：[1]哈尔滨金融学院计算机系,黑龙江哈尔滨150030

出　　处：《交通科技与经济》2015年第4期110-113,共4页Technology & Economy in Areas of Communications

基　　金：黑龙江省教育厅科学技术研究项目(12531089)

摘　　要：随着大数据时代的到来,计算密集型的海量数据查询的应用范围越来越广,在大数据环境下,从数据结构的特点出发实现分布式存储架构,并以高效查询为目的实现非结构化数据的索引机制,同时处理和优化聚集查询操作,分析与平台无关的并行编程模型。With the advent of the era of big data, data intensive computing query application range more widely, mainly explores in the big data environment, from the characteristics of the data structure of distributed storage architecture, and for the purpose of efficient query mainly realizes the non structure data and index mechanism, processing and optimization of aggregate query operation, analyzes the parallel programming model and platform independent.

关 键 词：计算密集型 存储技术 索引机制 查询技术 并行编程模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]