Processing Technology of Massive Human Health Data Based on Hadoop

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/).

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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  -