| Hadoop云平台下的并行化图像处理实现 |
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| 引用本文： | 张良将,宦飞,王杨德. Hadoop云平台下的并行化图像处理实现[J]. 信息安全与通信保密, 2012, 0(10): 59-62 |
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| 作者姓名： | 张良将 宦飞 王杨德 |
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| 作者单位： | 上海交通大学信息安全工程学院,上海,200240 |
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| 摘 要： | 近年来,云计算在IT行业掀起了新一轮技术革新浪潮。云计算是一种新兴的计算模型,它是并行计算、分布式计算、网格计算的综合发展,以简单、透明服务的形式提供无限制的计算资源。Hadoop实现的开源云平台提供了并行计算模型MapReduce、分布式文件系统HDFS和分布式数据库HBase等。随着数字图像数据量不断增长,单机模式的图像处理已逐渐不能满足用户需求。文中提出了利用Hadoop云平台实现海量图像的并行
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| 关 键 词： | 云计算 Hadoop MapReduce 图像处理 |
Parallel Image Processing Implementation under Hadoop Cloud Platform |
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| ZHANG Liang-jiang,HUAN Fei,WANG Yang-de. Parallel Image Processing Implementation under Hadoop Cloud Platform[J]. China Information Security, 2012, 0(10): 59-62 |
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| Authors: | ZHANG Liang-jiang HUAN Fei WANG Yang-de |
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| Affiliation: | (School of Information Security and Engineering, Shanghai Jiaotong University, Shanghai 200240, China) |
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| Abstract: | In recent years, cloud computing sets off a new wave of technical innovation in the IT industry. Cloud computing, based on comprehensive development, is an emerging computing model, of parallel computing, distributed computing, and grid computing are could provide unlimited computing resources in the form of simple and transparent service. Hadoop implementing open source cloud platform could provide parallel computing model MapReduce, distributed file system HDFS, and distributed database HBase and so on. With the increase of digital image data volume, image processing in stand-alone mode gradually could not meet the user＇s needs. A way to implement parallel processing of mass images with Hadoop loud platform is proposed, the types and formats of image processing based on MapReduce are designed, and the parallelization of image processing is realized. |
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| Keywords: | cloud computing Hadoop MapReduce image processing |
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