Evaluating I/O Scheduler in Virtual Machines for MapReduce Applications

摘要：

This paper explores the relationship between I/O scheduling in a virtual machine monitor (VMM) and performance of MapReduce applications running on the virtual machines (VMs). Traditionally, MapReduce applications running on the virtual machines perform worse than on the physical machines due to competing for I/O. In this paper, we discuss the effect of I/O scheduling on performance of MapReduce running on VMs. We present two strategies to improve the I/O scheduling and evaluate the performance through experiments. The results show that the strategies could reduce the percentage of I/O waiting and time consuming of MapReduce applications effectively.

关键词： I/O Scheduling Virtual Machines MapReduce

作者: Jun Fang Shoubao Yang Wenyu Zhou Hu Song

作者单位: School of Computer Science and Technology,Univ. of Science and Technology of China Hefei Anhui School of Computer Science and Technology, Univ. of Science and Technology of China Hefei Anhui

会议类型: 国际会议

会议名称: The Ninth International Conference on Grid and Cloud Computing(第九届网格与云计算国际学术会议 GCC 2010)

会议地点: 南京

会议语种:英文

页码: 64-69

在线出版日期: 2010-11-01（万方平台首次上网日期，不代表论文的发表时间）