Honolulu, HI, USA USA
June 24, 2012 to June 29, 2012
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CLOUD.2012.76
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.
Indexing, Servers, Time factors, Query processing, Coprocessors, cloud database, efficient indexing for Hbase
Chao-Rui Chang, Meng-Ju Hsieh, Jan-Jan Wu, Po-Yen Wu, Pangfeng Liu, "HSQL: A Highly Scalable Cloud Database for Multi-user Query Processing", CLOUD, 2012, 2013 IEEE Sixth International Conference on Cloud Computing, 2013 IEEE Sixth International Conference on Cloud Computing 2012, pp. 943-944, doi:10.1109/CLOUD.2012.76