New Improvement of the Hadoop Relevant Data Locality Scheduling Algorithm Based on LATE
基于LATE的Hadoop数据局部性改进调度算法

In the present,scheduling problem is a hot cloud computation research issues, and the purpose is to coordinate the cloud computation resources to be fully rational use. Data locality is one of the main properties in the particular cloud platform for Hadoop. The paper discussed the property, proposed a new improvement of the Hadoop relevant data locality scheduling algorithm based on LAhE. hhe algorithm mainly sows the bakcup of slow task performance problem which arises during the implementation of data read,taking most of the time and envently influencing its processing speed. Finally, carried on experiment to the algorithm and analyzed the funcation, verified the algorithm to improve the response time and the whole system throughput.