Design and Implementation of Large-Scale Data Management System Based on C/S Structure

Zhan Kun Zhao

doi:10.4028/www.scientific.net/AMM.602-605.3265

Paper Titles

Optimization Method of Massive Data Query
p.3247

Wind Speed Forecasting Based on Least Squares Support Vector Machine and Particle Swarm Optimization
p.3251

Numerical Simulation of Blast Wave Propagating on the Soil Surface
p.3256

The Simulation of English Character Encryption Encoding Optimized Communication Model
p.3261

Design and Implementation of Large-Scale Data Management System Based on C/S Structure
p.3265

Data Mining Algorithm of Frequent Probability Item Based on Sliding Window
p.3268

Image Copyright Protection Watermark Algorithm Based on Spread Spectrum Technology
p.3272

Coverage Control Strategy for Mobile Sensor Network Based on Voronoi Division
p.3278

Research and Design of a Trusted Distributed File System Based on HDFS
p.3282

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Design and Implementation of Large-Scale Data...

Design and Implementation of Large-Scale Data Management System Based on C/S Structure

Abstract:

With the development of computer and network technology, the storage and analysis for complex and large-scale of data can be implemented. According to the requirement, this paper designs a large-scale data management system based on C/S structure which realizes concentration, integration, security management, in-depth analysis and report generation of the field data. Application of the system can improve the scientific management level of enterprises, enhance employee productivity, ensure security, integrity and accuracy of the data, and provide important data for the performance review and decisions of enterprises development, thus improving economic efficiency of enterprises.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

3265-3267

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.3265

Citation:

Cite this paper

Online since:

August 2014

Authors:

Zhan Kun Zhao*

Keywords:

C/S Structure, Data Management, System Design

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Wu W, Yu C, Doan A, Meng W. An interactive clustering-based approach to integrating source query interfaces on the deep Web. Proc. of the ACM SIGMOD Int'l Conf. on Management of Data (SIGMOD 2004). ACM Press. 2004: 95-106.

DOI: 10.1145/1007568.1007582

Google Scholar

[2] Zhang Ling. Design of Collaborative Workgantt System Based on UML State Model[J]. Computer Science-Technology and Applications, 2009. IFCSTA '09. International Forum on (Volume: 1 ): 2-3.

DOI: 10.1109/ifcsta.2009.63

Google Scholar

[3] Cai-Nicolas Zieglera, Jennifer Golbeck. Investigating interactions of trust and interest similarity. Decision Support Systems, （2007) 460–475.

DOI: 10.1016/j.dss.2006.11.003

Google Scholar

[4] Cao Hong Zheng Xin. Data flow classifier algorithm in the application of water quality environment [J]. Bulletin of Science and Technology, 2014, 1: 117-122.

Google Scholar

[5] R. Sinha, K. Swearingen. Comparing recomme ndations made by online systems and friends. in: Proceedings of the DELOS-NSF Workshop on Personalization and Recommender Systems in Digital Libraries, 2011, 115-162.

Google Scholar