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基于并行编程技术实现的规则系统

MapReduce-Based Implementation of a Rule System

作者:Ryunosuke Maeda;Naoki Ohta;Kazuhiro Kuwabara 加工时间:2015-07-15 信息来源:科技报告(Other) 索取原文[10 页]
关键词:传感器;基于规则的系统; Hadoop; MapReduce
摘 要:As information and communication technologies advance, large amounts of data are created everyday. The demands for processing such big data are also increasing. To meet them, the MapReduce framework has been proposed and is now widely used. On the other hand, a rule-based system is used to implement such an intelligent system as an expert system. For applying a rule-based system to process large amounts of data, we propose a method that implements a rule system based on the MapReduce framework. We constructed a simple rule system using Hadoop, which is an open source implementation of the MapReduce framework, and compared several methods of executing a rule system. Our experimental results indicate the potential of a rule system implemented using the MapReduce framework.
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