Large-Scale Data Storage and Management Scheme Based on Distributed Database Systems

DOI

10.2991/itim-17.2017.4How to use a DOI?

Keywords

Distributed database systems, Large-scale data storage, Heterogeneous equipments, Large-scale data processing

Abstract

The existing distributed database management system can realize the data storage with high access bandwidth through the cluster, which has the characteristics of reliable data replication and fault detection and fast automatic system recovery. However, with the existing network platform software and computing model, there is still a need to establish a virtual organization that can implement specific requirements based on the data manipulation mechanism and data access patterns in the network. This paper proposes a large-scale data storage and management scheme based on distributed database, which is more suitable for the use and control of large-scale data access and other types of application and data access modes as needed, compared with other technical solutions. Mode can cover multiple orders of magnitude of data exchange and data processing and input / output systems. The experimental results show that this scheme has the advantages of good reliability, easy operation and support of large amount of data processing.

Copyright

© 2017, 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  - Qiao Sun
AU  - Buqiao Deng
AU  - Lanwei Fu
AU  - Zhiqiang Wang
AU  - Xubin Pei
AU  - Jiasong Sun
PY  - 2017/08
DA  - 2017/08
TI  - Large-Scale Data Storage and Management Scheme Based on Distributed Database Systems
BT  - Proceedings of the 2017 International Conference on Information Technology and Intelligent Manufacturing (ITIM 2017)
PB  - Atlantis Press
SP  - 14
EP  - 17
SN  - 1951-6851
UR  - https://doi.org/10.2991/itim-17.2017.4
DO  - 10.2991/itim-17.2017.4
ID  - Sun2017/08
ER  -