Processing Technology of Massive Human Health Data Based on Hadoop
Authors
Miao Liu, Junsheng Yu, Zhijiao Chen, Jinglin Guo, Jun Zhao
Corresponding Author
Miao Liu
Available Online June 2016.
- DOI
- 10.2991/mmebc-16.2016.284How to use a DOI?
- Keywords
- Massive human health data, Hadoop, small files, prefetching.
- Abstract
With the development of science and medical industry, people pay more and more attention to their health status. And massive human health data are generated in this process. As an important component of the cloud computing technology, the open source framework Hadoop provides us with a platform for storing and processing massive data. For the bottleneck of the existing Hadoop framework to deal with the small files in human health data, this paper proposes two optimization strategy: index optimization and metadata prefetching. At the end of the paper, the simulation results show that the method has excellent performance.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Miao Liu AU - Junsheng Yu AU - Zhijiao Chen AU - Jinglin Guo AU - Jun Zhao PY - 2016/06 DA - 2016/06 TI - Processing Technology of Massive Human Health Data Based on Hadoop BT - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer PB - Atlantis Press SP - 1389 EP - 1394 SN - 2352-5401 UR - https://doi.org/10.2991/mmebc-16.2016.284 DO - 10.2991/mmebc-16.2016.284 ID - Liu2016/06 ER -