本文已被：浏览 1704次 下载 4358次
Received:December 31, 2013 Revised:March 12, 2014
Received:December 31, 2013 Revised:March 12, 2014
中文摘要: 高速公路在日常的运营过程中，产生了海量的、异构的数据，即大数据，这些数据还在快速的增长. 大规模产生的数据，给数据的存储和分析带来了巨大的挑战，如何科学、高效的存储这些大数据，并能对其进行快捷的访问和分析，更好的服务于交通，是一个迫在眉睫的问题. 首先讨论了高速公路中大数据的来源以及数据的特点，然后分析了研究大数据的意义和大数据处理技术，并分析了这些技术在高速公路大数据中分析中所面临的挑战.
Abstract:Massive Heterogeneous Data, aka, the Big Data is being generated along with Highway daily operation, and the volume increase in fast speed. As a consequence of these massive data, data storage and analyze encoutered big challenges. How to store data in high efficency, approach of easy access and feasibility of data analyzing is an urgent issue to be addressed. This article will investigate the source of big data generated by Highway daily operation and its characteristics. Then this paper discusses the significances of big data research and data processing technologies in industry, also the challenges will be mentioned in detail.
keywords: highway bigdata parallel database MapReduce
文章编号： 中图分类号： 文献标志码：
基金项目:
引用文本：
杨仁怀,郎川萍,刘文美.高速公路大数据处理现状与挑战.计算机系统应用,2014,23(9):13-17
YANG Ren-Huai,LANG Chuan-Ping,LIU Wen-Mei.Current Status and Challenges of Highway Bigdata Processing.COMPUTER SYSTEMS APPLICATIONS,2014,23(9):13-17
杨仁怀,郎川萍,刘文美.高速公路大数据处理现状与挑战.计算机系统应用,2014,23(9):13-17
YANG Ren-Huai,LANG Chuan-Ping,LIU Wen-Mei.Current Status and Challenges of Highway Bigdata Processing.COMPUTER SYSTEMS APPLICATIONS,2014,23(9):13-17
