期刊文献+

移动云计算的数据处理方法

Data Peocessing Methods of Mobile Cloud Computing
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摘要 本文设计并实施了一种改进的MapReduce模型,它由谷歌设计并用来处理海量数据,称之为框架FastMR.MapReduce的模型,它成为被广泛接受且应用于很流行的云计算编程模型,与MapReduce相比,FastMR可以更容易地实现大数据流的移动式云计算,根据移动式云计算的特点我们放弃了传统的MapReduce模型的一些特征并添加了一些新的属性。 This paper persents a design of an implement a improved MapReduce model, which is called the framework FastMR. MapReduee model, designed by Google, is used for large data processing. It becomes a widely accepted and very popular programming model of Cloud Computing now. Compared with MapReduee, FastMR is easy to process large stream data in mobile cloud computing. According to the characteristics of mobile cloud computing, The design gives up some characteristics of the traditional MapReduee model, and adds some new attributes.
作者 戴芦生
出处 《安徽电子信息职业技术学院学报》 2011年第5期31-34,共4页 Journal of Anhui Vocational College of Electronics & Information Technology
关键词 MAPREDUCE模型 移动式云 计算数据流 MapReduce Mobile Cloud Computing stream data
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参考文献10

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