Distributed Multi-Dimensional Data Index Strategy in Cloud Computing Environment

The widespread application of cloud computing technology makes data show an explosive growth trend, and poses new challenges to traditional data management technology. Existing cloud storage systems generally use distributed hash tables to access data. This key-value-based model can achieve higher access efficiency in single-dimensional queries, but it does not support multi-dimensional queries. Therefore, in recent years, cloud storage auxiliary indexing has become a hot topic in academic research, and related results have been published in top international conferences and top journals in the field of database. This paper studies the distributed multi-dimensional data index strategy under the cloud computing environment. The work of the thesis is carried out from two aspects: multi-dimensional data index in cloud storage and distributed computing.