MR-COF:A Genetic MapReduce Configuration Optimization Framework

摘要：

　　Hadoop/MapReduce has emerged as a de facto programming framework to explore cloud-computing resources.Hadoop has many configuration parameters,some of which are crucial to the performance of MapReduce jobs.In practice,these parameters are usually set to default or inappropriate values.

关键词： Mapreduce Massive data processing Parameter configuration Performance optimization Search algorithm

作者: Chao Liu Deze Zeng Hong Yao Chengyu Hu Xuesong Yan Yuanyuan Fan

作者单位: Hubei Key Laboratory of Intelligent Geo-Information Processing,China University of Geosciences,Wuhan Hubei Key Laboratory of Intelligent Geo-Information Processing,China University of Geosciences,Wuhan

会议类型: 国内会议

会议名称: The 7th International Symposium on Parallel Architectures, Algorithms and Programming, PAAP2015(2015年第七届国际并行体系结构,算法和编程研讨会)

会议地点: 张家界

会议语种:英文

页码: 1-14

在线出版日期: 2015-11-18（万方平台首次上网日期，不代表论文的发表时间）