A Distributed Load-Based Big Data Security Management System
Ming Xie, Zubin Chen
Available Online March 2017.
- https://doi.org/10.2991/ifmca-16.2017.2How to use a DOI?
- Cloud computing; big data; security management
- The continuous growth of multi-source heterogeneous large scale data and the continuous improvement of the real time requirement increased the complexity of the data processing brought the new technology challenges to the traditional data security transmission management. This paper proposes a data security management system using multiple server nodes constitute the cloud server cluster and permanent storage and backup files on a network; build the client cluster with multiple user nodes, save a copy of the files which is storaged in the server and to provide users with download service and update service, cluster server to user nodes were control and Arbitration. The system achieves a large data load of two parties in the cloud and the user side. The improved data download and update process can effectively improve the scalability of the system and reduce the cost of the service. The method was applied to the national invention patent and the Guangxi power grid was applied. The average success rate of daily data backup was increased by 0.99%.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Ming Xie AU - Zubin Chen PY - 2017/03 DA - 2017/03 TI - A Distributed Load-Based Big Data Security Management System BT - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016) PB - Atlantis Press SP - 10 EP - 18 SN - 2352-5401 UR - https://doi.org/10.2991/ifmca-16.2017.2 DO - https://doi.org/10.2991/ifmca-16.2017.2 ID - Xie2017/03 ER -