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Mobile cloud platform for big data analytic

机译:大数据分析的移动云平台

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摘要

Big data technologies are to extract value from very large data volumes of a variety of data by enabling analysis. With the fast deployment of cloud computing to mobile devices, big data analysis is shifting from personal computer to mobile devices. For this stream of change of technology, a new mobile cloud platform which can offer seamless connectivity and high query processing performance is needed. This paper presents a mobile cloud platform for accessing big data in the cloud through mobile devices. RESTful web service technology is applied to meet seamless connectivity between mobile device and cloud storage.MapReduceTransformation Model is applied to provide high query processing performance. The query processing performance of proposed platform is evaluated and compared with the performance of other traditional high level query languages, such as Pig, Hive, and Jaql. Comparative results show that our platform can provide better query processing performance.
机译:大数据技术是通过启用分析来提取来自非常大的数据卷的值。随着云计算到移动设备的快速部署,大数据分析将从个人计算机转换到移动设备。对于这种技术的变化流,需要一种可以提供无缝连接和高查询处理性能的新移动云平台。本文介绍了一种移动云平台,用于通过移动设备访问云中的大数据。应用RESTful Web服务技术以满足移动设备和云存储之间的无缝连接.MapreduceTransformation模型应用于提供高查询处理性能。评估所提出的平台的查询处理性能,并与其他传统高级查询语言(如PIG,HIVE和JAQL)的性能进行比较。比较结果表明,我们的平台可以提供更好的查询处理性能。

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