JSEA  Vol.6 No.3 B , March 2013
Selection and Research for Online Registration System’s Database System
Abstract: Based on the Online Registration System (ORS) characteristics and key technology analysis, this paper points out that that a good performance and high stability of the ORS lies in the choice of the system database. Database clustering technology which has merits such as concurrent processing, easy expansion, and high security is proposed to achieve database subsystem of ORS, and the design of the database cluster system framework is available in this paper. Finally, we also explore the database load balancing of the cluster system, heterogeneous database replication technology.
Cite this paper: Y. Chen and H. You, "Selection and Research for Online Registration System’s Database System," Journal of Software Engineering and Applications, Vol. 6 No. 3, 2013, pp. 33-36. doi: 10.4236/jsea.2013.63B008.

[1]   R.Buyya, T.Cortes, H.Jin. Single System Image (SSI). Journal of High Performance Computing Applications, 2001,15(2):124~135

[2]   Gong Weihua. Study on the key issues of database cluster system[D]. Huazhong University of Science and Technology,2006.

[3]   Li Chongxin. Design and implementation snapshot for dis-tributed database HBase[D]. Zhejiang Un1versity, 2011.

[4]   Murthy, V.K. High performance cluster computing using component-oriented distributed sys-tems[C].1st International Conference on e-Science and Grid Computing,Melbourne, Australia: First In-ternational Conference on e-Science and Grid Compu-ting,e-Science 2005,2005:522~529.

[5]   Z Shao, H.Jin.HARTS. High availability cluster architecture with redundant TCP stacks[C].IEEE Initernational Performa-nee, Computing and Communications Conference,Phoenix,AZ, United states: Institute of Electrical and Electronics Engineers Inc., 2003:28~29.

[6]   Keong Loh Peter Kok, Hsu Wen Jing, Wentong Cai. How network topology affects dynamic load balancing[J]. IEEE Parallel and Distributed Technology, 1996, 4(3):25~35.

[7]   Zhu Xiongfeng. Research and analysis on database cluster middleware MySQL proxy[D]. Wu-han University, 2011.

[8]   Gai J Y,Zhang Z N,Xiao H. Data replication technique analysis and application in distributed database system [J]. Computer Applica-tions and Software,2005,22( 7) : 36-38,41( in Chi-nese) .

[9]   Zhang D P,Chen C,Xu Z. Research and implementation of heterogeneous database replication technology [J]. Journal of Graduate University of Chi-nese Academy of Sicences,2012,29( 1) : 101-108.

[10]   C.L.Pape, S.Gancarski, P.Valduriez. Refresco: Improving query performance through fresh-ness control in a database cluster. in: Proceeding of On the Move to Meaningful Internet Systems 2004:CoopIS, DOA and ODBASE, Agia Napa Cyprus.Berlin: Sprin-ger-Verlag, 2004, (1): 174~193

[11]   S.Narayanan, U.Catalyurek, T.Kurc et al. Applying database support for large scale data driven science in distributed envi-ronments. in: Proceedings of the Fourth International Workshop on Grid Computing.Los Alamitos:IEEE Compurter Society,2003.141~148