Abstract
The paper focused on the key technology and key issues remain to be solved for the elastic extension mechanism of the IaaS layer and the application layer. Then reformed the system structure of the educational management system, proposed the resource scheduling strategy for the cloud platform, the experimental and operating results showed that the dynamic elastic extension properties of the cloud platform greatly improve the performance of educational management system, can meet the demand in the case of high concurrency. This study can provide a reference for the construction of the college information applications with similar characteristics.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Jun-Zhou, L., Jia-Hui, J., Ai-Bo, S., et al.: Cloud computing: architecture and key technologies. J. Commun. 32(7), 3–21 (2011)
Fumin, Z., Jiang Xinhua, H., Huichun, H., et al.: A review on the research and application of cloud computing. J. Fujian Univ. Technol. 11(03), 231–242 (2013)
Yi-Jie, W., Wei-Dong, S., Song, Z., et al.: Key technologies of distributed storage for cloud computing. J. Softw. 23(4), 962–986 (2012)
Bo, Y., Ying, W., Luo-Ming, M., et al.: A new virtual machine migration strategy based on migration cost and communication cost for power saving in cloud. J. Beijing Univ. Posts Telecommun. 35(1), 68–71 (2012)
Xiong-Pai, Q., Hui-Ju, W., Fu-Rong, L., et al.: New landscape of data management technologies. J. Softw. 24(02), 175–197 (2013)
Shen, D.R., Yu, G., Wang, X.-T., et al.: Survey on NoSQL for management of big data. J. Softw. 24(08), 1786–1803 (2013)
Quan, Z.: Research on the key technology of dynamic elastic expansion for cloud platform 14(01), pp. 71–75 (2016)
Acknowledgment
This work is supported financially by the university scientific research special of Fujian Province (No. JK2014033), Special of college education informationization in education department of FuJian province (No. JA15326), Dr. Startup funds of FJUT (No. GY-Z15009).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Quan, Z. (2017). Research on the Construction of College Information Applications Based on Cloud Computing. In: Pan, JS., Snášel, V., Sung, TW., Wang, X. (eds) Intelligent Data Analysis and Applications. ECC 2016. Advances in Intelligent Systems and Computing, vol 535. Springer, Cham. https://doi.org/10.1007/978-3-319-48499-0_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-48499-0_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-48498-3
Online ISBN: 978-3-319-48499-0
eBook Packages: EngineeringEngineering (R0)