A Survey on MapReduce Scheduling in Cloud Computing

摘要：

　　A large-scale data processing is increasingly leveraging MapReduce frameworks on Cloud computing platform. We aimed to study various job schedulers improved in MapReduce, and identify research directions in this area. In this paper, the related techniques of MapReduce and Hodoop are described briefly. Then a variety of MapReduce schedulers are reviewed and classified, also the features of these schedulers are expressed.

关键词： Hadoop MapReduce Scheduling Clould Computing

作者: Li Liu YingQi Zhai

作者单位: School of Automation and Electrical Engineering University of Science and Technology Beijing,China

会议类型: 国际会议

会议名称: 2015 Fifth International Conference on Instrumentation and Measurement,Computer,Communication and Control (IMCCC2015)(第五届仪器测量、计算机通信与控制国际会议)

会议地点: 秦皇岛

会议语种:英文

页码: 1710-1715

在线出版日期: 2015-09-18（万方平台首次上网日期，不代表论文的发表时间）