Efficient indexing method for massive data in cloud computing
Huang Bi · Jisuanji yingyong yanjiu · 2014
For the mass and the distribution characteristics of the data in the cloud computing environment,and current distributed B-tree has the problem: poor concurrent access efficiency. This paper put forward an efficient index method for massive data in cloud computing,which used a log to record the split history of all nodes in a B-tree,and achieved efficient concurrent access to the B-tree based on its node splitting history. The experimental results show that the method effectively improves the efficiency of access and indexing distributed and massive data in the cloud computing environment.