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Practical Issues using Distributed Computing Environments – Apache Hadoop

机译:使用分布式计算环境的实际问题– Apache Hadoop

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The paper presents practical results obtained with sequential standard programming, RPC/RMI mechanism and Apache Hadoop distributed computing platform for a problem of computation time and power that might be used in e-mail text searching. First section is about Distributed Computing technologies and middleware introduction. In second and third section are shown few details about RPC/RMI and Apache Hadoop approaches. The fourth section presents the results of the computation for a classic problem such as word counting from large text files using standard versus remote procedure call versus map-reducing approach. In the end are shown the main advantages of the distributed systems and computing environments.
机译:本文介绍了通过顺序标准编程,RPC / RMI机制和Apache Hadoop分布式计算平台获得的实际结果,解决了可能在电子邮件文本搜索中使用的计算时间和功能问题。第一部分是关于分布式计算技术和中间件的介绍。在第二部分和第三部分中,显示了有关RPC / RMI和Apache Hadoop方法的一些细节。第四部分介绍了经典问题的计算结果,例如使用标准方法与远程过程调用与地图减少方法从大型文本文件进行字计数。最后显示了分布式系统和计算环境的主要优点。

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