Research on Mass Image Storage Platform Based on Cloud Computing

DOI

10.2991/icsnce-16.2016.2How to use a DOI?

Keywords

Massive images; Cloud computing; Distributed calculation; Storage framework

Abstract

With fast development and deep appliance of the Internet, problem of mass image data storage stand out, so the problem of low management efficiency, low storage ability and high cost of traditional storage framework has appeared. The appearance of Hadoop provides a new thought. However, Hadoop itself is not suit for the handle of small files. This paper puts forward a storage framework of mass image files based on Hadoop, and solved the internal storage bottleneck of NameNode when small files are excessive through classification algorithm of preprocessing module and lead-in of high efficiency and first-level of index mechanism. The test manifests that the system is safe, easy to defend and has fine extension quality; as a result, it can reach to a fine effect.

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  - Xiaoqing Zhou
AU  - Jiaxiu Sun
AU  - Zhiyong Zhou
PY  - 2016/07
DA  - 2016/07
TI  - Research on Mass Image Storage Platform Based on Cloud Computing
BT  - Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
PB  - Atlantis Press
SP  - 5
EP  - 9
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsnce-16.2016.2
DO  - 10.2991/icsnce-16.2016.2
ID  - Zhou2016/07
ER  -