@inproceedings{29ea815065c247dfad130e04e1ec6428,
title = "HMVR-tree: A multi-version R-tree based on HBase for concurrent access",
abstract = "With the development of cloud computing, more and more large scale multi-dimensional data are stored on cloud platforms. Multidimensional index is an efficient technique to support processing data efficiently. Designing a multi-dimensional index which supports multiuser concurrent access efficiently has become a challenging problem. In this paper, we propose a multi-version R-tree based on HBase (HMVRtree) to support multiple concurrent access. HMVR-tree maintains the newest version of tree while keeping all the old versions of the nodes for efficient concurrent update and query access to different nodes. The evaluation results show that MHVR-tree has good scalability and has much higher update throughput and the same level query throughput compared to the original R-tree on HBase.",
keywords = "Concurrent access, HBase, Multi-version, R-tree",
author = "Shan Huang and Botao Wang and Shizhuo Deng and Kaili Zhao and Guoren Wang and Ge Yu",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 2nd International Conference on Big Data Computing and Communications, BigCom 2016 ; Conference date: 29-07-2016 Through 31-07-2016",
year = "2016",
doi = "10.1007/978-3-319-42553-5\_6",
language = "English",
isbn = "9783319425528",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "68--77",
editor = "Yu Wang and Ge Yu and Guoren Wang and Yanyong Zhang and Zhu Han",
booktitle = "Big Data Computing and Communications - 2nd International Conference, BigCom 2016, Proceedings",
address = "Germany",
}