基于Hadoop的备件储备定额并行化研究
摘 分析煤矿企业备件储备定额构成计算过程中存足针串行处技术备件消耗量预测方法执行效率低传统行计算模式关于节点失效负载均衡问题好解决方案提出Hadoop平台实现备件消耗量预测设计方法概率统计分析方法进行改进给出其Hadoop平台MapReduce编程模型上执行流程Hadoop平台上改进备件预测方法进行测试传统方法进行比结果证明改进后方法时间耗费小扩展性高关键词 Hadoop 备件 概率统计分析法 MapReduce中图分类号TP393 文献标志码A 文章编号1006-8228201405-10-04Abstract The composition of reserving quota in the coal mining enterprises and the deficiency existing in the calculation of minimum storage process are analyzed. The original spare parts consumption prediction method based on serial processing execution efficiency is low. The traditional parallel computing mode cannot handle node failure and it is also difficult to deal with issues such as load balancing. The spare parts consumption forecast based on the Hadoop platform is proposed probability and statistics analysis method has been improved. The implementation process of the improved algor
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