HSQL: A highly scalable cloud database for multi-user query processing
Journal
Proceedings - 2012 IEEE 5th International Conference on Cloud Computing, CLOUD 2012
Pages
943-944
Date Issued
2012
Author(s)
Abstract
With the ever increasing size of data sets, traditional parallel relational database solution can be prohibitively expensive and may suffer limited scalability. To perform large-scale data processing in a cost-effective manner, several NoSQL data processing systems have been proposed. In this paper, we devise a new, distributed B-tree column indexing scheme for HBase, which can support indexing for non-row-key columns, as well as parallel B-tree search in large data table. Our experiment results demonstrate both performance and scalability advantage of our indexing scheme on point queries, range queries, and aggregation operations, compared with HBase.
Type
conference paper