Cloud Data Management Based on Cloud Computing Technology

Yuan Jun Zou

doi:10.4028/www.scientific.net/AMM.543-547.3573

Paper Titles

A Novel Routing Scheme for ICN
p.3555

Research on Storage Algorithm of Video Stream in Video Surveillance System Based on H.264
p.3561

Evaluation and Analysis of the Quantitative Computing Model of the Information Security Risk Assessment
p.3565

Discovery Algorithm of the Association Rules Based on Cloud Database
p.3569

Cloud Data Management Based on Cloud Computing Technology
p.3573

Algorithm Implementation and Method of Virtual Meshing Division of Complex Blade
p.3577

Construction of Collaborative Learning Environment Supported by Cloud-Computing
p.3581

Extending Description Logic SHOIN Based on Cloud Model
p.3586

SRL-DP-NE: An Opinion Mining Method Based on Web News Comments
p.3590

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Cloud Data Management Based on Cloud Computing...

Cloud Data Management Based on Cloud Computing Technology

Abstract:

Cloud computing, networking and other high-end computer data processing technology are the important contents of eleven-five development planning in China. They have developed rapidly in recent years in the field of engineering. In this paper, we combine parallel computing with the collaborative simulation principle, design a cloud computing platform, establish the mathematical model of cloud data processing and parallel computing algorithm, and verify the applicability of algorithm through the numerical simulation. Through numerical calculation, cloud computing platform can be divided into complex grids, and the transmission speed is fast, which is eight times than the finite difference method. The mesh is meticulous, which reaches millions. Convergence error is minimum, only 0.001. The calculation accuracy is up to 98.36%.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

3573-3576

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.3573

Citation:

Cite this paper

Online since:

March 2014

Authors:

Yuan Jun Zou*

Keywords:

Cloud Computing, Convergence of the Residuals, Finite Difference, Grid Division, Numerical Simulation, Super Complex Model

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

* - Corresponding Author

References

[1] Xizhi Sun, Shijin Chen, Shijin Cheng et al. Research summary of multistate simulation method [J]. Journal of system simulation, 2010, 18 (10): 2699-2702.

Google Scholar

[2] Haibin Xie, Daibing Zhang, Lincheng Shen. Coordination simulation research based on MATLAB/ SIMULINK and FLUENT [J]. Journal of system simulation, 2011, 19 (8): 1824-1827.

Google Scholar

[3] Haibin Xie, Lincheng Shen. Research on underwater vehicle dynamic system collaborative modelling method [J]. Journal of system simulation, 2012, 19 (9): 2130-2133.

Google Scholar

[4] Cheng Bao, Ningsheng Cai. Solid oxide fuel cell - research on modelling and control of gas turbine hybrid power generation system [J]. Journal of mechanical engineering, 2012, 44 (2): 1-7.

Google Scholar

[5] Ye Xia, Songrong Qian. Research on authentication level model for OpenID identity authentication system [J]. Application of microcomputer, 2011, 27 (4): 7-9.

Google Scholar

[6] Zhaohua Deng, Yaobin Lu, Jinlong Zhang. The influence on the user adoption of mobile banking services due to reliability and ability of ATM [J]. Management review, 2010, 21 (1): 59-66.

Google Scholar

[7] Li Wang, Fanghua Wang, Pengzhu Zhang. The willingness of customer online involvement in product development based on TAM-VCE model [J]. Journal of management science, 2011, 11 (1): 49-58.

Google Scholar

[8] Hao Huang, Lu Liu, Jianjun Wang. Mobile content service adoption analysis based on TAM [J]. Nan Kai business review, 2010, 11 (6): 42-47.

Google Scholar

[9] Qibo Sun, Jie Liu, Shan Li, et al. Networking: research summary of concept, architecture and key technology [J]. Journal of Beijing University of Posts and Telecommunications, 2010, 33 (3): 1-9.

Google Scholar

[10] Liusong Huang. The solid oxide fuel cell - modelling and simulation of micro gas turbine hybrid system [D]. Shanghai: Shanghai Jiao Tong University, 2011: 48-58.

Google Scholar