• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

An Enhanced University Registration Model Using Distributed Database Schema

Vol. 13, No. 7, July 30, 2019
10.3837/tiis.2019.07.011, Download Paper (Free):

Abstract

A big database utilizes the establishing network technology, and it became an emerging trend in the computing field. Therefore, there is a necessity for an optimal and effective data distribution approach to deal with this trend. This research presents the practical perspective of designing and implementing distributed database features. The proposed system has been establishing the satisfying, reliable, scalable, and standardized use of information. Furthermore, the proposed scheme reduces the vast and recurring efforts for designing an individual system for each university, as well as it is effectively participating in solving the course equivalence problem. The empirical finding in this study shows the superiority of the distributed system performance based on the average response time and the average waiting time than the centralized system. The system throughput also overcomes the centralized system because of data distribution and replication. Therefore, the analyzed data shows that the centralized system thrashes when the workload exceeds 60%, while the distributed system becomes thrashes after 81% workload.


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Cite this article

[IEEE Style]
K. S. Maabreh, "An Enhanced University Registration Model Using Distributed Database Schema," KSII Transactions on Internet and Information Systems, vol. 13, no. 7, pp. 3533-3549, 2019. DOI: 10.3837/tiis.2019.07.011.

[ACM Style]
Khaled Saleh Maabreh. 2019. An Enhanced University Registration Model Using Distributed Database Schema. KSII Transactions on Internet and Information Systems, 13, 7, (2019), 3533-3549. DOI: 10.3837/tiis.2019.07.011.

[BibTeX Style]
@article{tiis:22155, title="An Enhanced University Registration Model Using Distributed Database Schema", author="Khaled Saleh Maabreh and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2019.07.011}, volume={13}, number={7}, year="2019", month={July}, pages={3533-3549}}