Study on Cloud Storage based on the MapReduce for Big Data

DOI

10.2991/meic-15.2015.366How to use a DOI?

Keywords

Big Data; cloud storage; MapReduce; Hadoop; security

Abstract

Big Data has been one of the current and future research frontiers. Data sets grow in size because they are increasingly being gathered by ubiquitous information-sensing mobile devices, aerial sensory technologies, remote sensing, software logs, cameras, microphones, radio-frequency identification readers, wireless sensor networks, and so on. Big Data has changed the way we capture and store data, including data storage device, data storage architecture, data access mechanism. Cloud computing moves the application software and databases to large data centers, where the management of the data and services may not be fully trustworthy. Storage is one of the major issues which hamper the growth of cloud. To deal with Big Data storage problems we discuss cloud storage platform based on the MapReduce for Big Data.

Copyright

© 2015, 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/).

Download article (PDF)

TY  - CONF
AU  - Yi Huang
AU  - Xinqiang Ma
AU  - Yongdang Zhang
AU  - Youyuan Liu
PY  - 2015/04
DA  - 2015/04
TI  - Study on Cloud Storage based on the MapReduce for Big Data
BT  - Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 1601
EP  - 1605
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-15.2015.366
DO  - 10.2991/meic-15.2015.366
ID  - Huang2015/04
ER  -