Applied Research for Campus Student Credit Management System under the Cloud Storage

Ying Jian Kang; Lei Ma

doi:10.4028/www.scientific.net/AMM.644-650.2868

Paper Titles

The Application of Database Technology in Network Management System
p.2850

Research on the SDN-Based Architecture of Space-Sky Information Network
p.2854

Study on the Campus Website Construction
p.2857

Research on QoS Guarantee Technology for Intercom System Based on SIP
p.2863

Applied Research for Campus Student Credit Management System under the Cloud Storage
p.2868

Assess on E-Commerce Transaction Based on Web Technology
p.2872

NTP DRDoS Attack Vulnerability and Mitigation
p.2875

Binary Tree Model-Based Mobile Ad Hoc Network Dynamic Address Allocation Mechanism Research
p.2881

A High-Throughout Design of CAVLC Decoder for H.264/AVC
p.2886

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Applied Research for Campus Student Credit...

Applied Research for Campus Student Credit Management System under the Cloud Storage

Abstract:

Campus student credit management system under cloud storage is studied to improve performance of management system. In universities, credit is an important indicator of student achievement, and a direct impact on whether students can graduate. How to manage credit of students, has become a key topic of campus management. To this end, the campus student credit management systemunder cloud storage environmentsis proposed. The relevant principles and hierarchy of cloud storage are elaborated, and storage environment of campus student credit management system is obtained. In these environments, student credit management is achieved. Experimental results show that with the improved algorithm to process campus student credit management under cloud storage, the storage space can be expanded to improve management efficiency, to meet the actual needs of the campus administration.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

2868-2871

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.2868

Citation:

Cite this paper

Online since:

September 2014

Authors:

Ying Jian Kang*, Lei Ma

Keywords:

Cloud Storage, Database, Mass Information

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Li Hongliang, Yin Baoqun, Zheng Shuang. A Data Deployment Algorithm Based on Load Balance [J]. computer simulation, 2009. 4: 177-180.

Google Scholar

[2] Hantong. Tracking and management of the number ofconcurrent usersto improve the database systemefficiency [J]. Information Technology &Informatization, 2011. 5: 49-50.

Google Scholar

[3] Liu Side. Discussion of the Cloud Storage Model Based on the Network[J]. BULLETIN OF SCIENCE AND TECHNOLOGY, 2012, 28(10): 206-209.

Google Scholar

[4] M. Gonzalez-Audicana, J.L. Saleta, R.G. Catal, and R. Garcia. Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition[J]. IEEE Transactions on Geoscience and Remote Sensing. 2004, 1, 42(6). 1291-1299.

DOI: 10.1109/tgrs.2004.825593

Google Scholar

[5] Liang Fenglan. Simulation of Data Mining Algorithm Based on Optimal Decision Tree[J]. Computer Simulation, 2013, 11(29): 264-267.

Google Scholar

[6] Cline D, Egbert P. Terrain decimation through quadtree morphing. IEEE Trans. on Visualization and Computer Graphics，2001，7 (1): 62−69.

DOI: 10.1109/2945.910822

Google Scholar