Systematic Literature Review Untuk Identifikasi Metodde Fragmentasi Pada Perancangan Sistem Database Terdistribusi

Authors

  • Erba Lutfina Universitas Nasional Karangturi
  • Ahmad Nugroho Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Nasional Karangturi, Jl. Raden Patah 182-192, Kota Semarang, 50227, Indonesia
  • Muhammad Zakki Abdillah Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Nasional Karangturi, Jl. Raden Patah 182-192, Kota Semarang, 50227, Indonesia

DOI:

https://doi.org/10.53416/stmj.v2i2.93

Abstract

Large and complex databases that exist on a system can result in poor performance such as increasing access time and costs on a system. There are various ways to reduce the time and cost of data access and improve the performance of a database, one of them is by designing a Distributed Database. It is not known how many methods can be used to design a distributed database. This study aims to identify a distributed database design method using the Systematic Literature Review (SLR) method whose data were obtained from related journals from 2012–2022. This review is helpful for researchers as well as practitioners, for researchers this research will help them to see trends in the field of vertical fragmentation in distributed databases.  

References

A. Suganya, & Kalaiselv, R. (2013). Efficient Fragmentation and Allocation in Distributed Databases. International Journal of Engineering Research and Technology (IJERT), 2(1).

Al-Sayyed, R. M. H., Al Zaghoul, F. A., Suleiman, D., Itriq, M., & Hababeh, I. (2014). A New Approach for Database Fragmentation and Allocation to Improve the Distributed Database Management System Performance. Journal of Software Engineering and Applications, 07(11), 891–905. https://doi.org/10.4236/jsea.2014.711080

Bhuyar, P. R., Gawande, A. D., & Deshmukh, A. B. (2012). Horizontal Fragmentation Technique in Distributed Database. International Journal of Scientific and Research Publications, 2(5), 1–7.

Goli, M., & Rankoohi, S. M. T. R. (2012). A new vertical fragmentation algorithm based on ant collective behavior in distributed database systems. Knowledge and Information Systems, 30(2), 435–455. https://doi.org/10.1007/s10115-011-0384-6

Jawad, K., & Khan, A. (2013). Genetic algorithm and difference expansion based reversible watermarking for relational databases. Journal of Systems and Software, 86(11), 2742–2753. https://doi.org/10.1016/j.jss.2013.06.023

Kitchenham, B., Pearl Brereton, O., Budgen, D., Turner, M., Bailey, J., & Linkman, S. (2009). Systematic literature reviews in software engineering - A systematic literature review. Information and Software Technology, 51(1), 7–15. https://doi.org/10.1016/j.infsof.2008.09.009

Le, D. N., Seth, B., & Dalal, S. (2018). A hybrid approach of secret sharing with fragmentation and encryption in cloud environment for securing outsourced medical database: A revolutionary approach. Journal of Cyber Security and Mobility, 7(4), 379–407. https://doi.org/10.13052/jcsm2245-1439.742

Lutfina, E. (2018). A Performance Comparative of Vertical Fragmentation Table Using Bond Energy and Graph Based Vertical Partitioning Algorithm. Proceedings - 2018 International Seminar on Application for Technology of Information and Communication: Creative Technology for Human Life, ISemantic 2018, 377–380. https://doi.org/10.1109/ISEMANTIC.2018.8549755

Nashat, D., & Amer, A. L. I. A. (2018). A Comprehensive Taxonomy of Fragmentation and. ACM Computing Surveys, 51(1), 1–25.

Rahimi, H., Parand, F. A., & Riahi, D. (2018). Hierarchical simultaneous vertical fragmentation and allocation using modified Bond Energy Algorithm in distributed databases. Applied Computing and Informatics, 14(2), 127–133. https://doi.org/10.1016/j.aci.2015.03.001

Razavian, M., Paech, B., & Tang, A. (2019). Empirical research for software architecture decision making: An analysis. Journal of Systems and Software, 149(2019), 360–381. https://doi.org/10.1016/j.jss.2018.12.003

Rodríguez-Mazahua, L., Alor-Hernández, G., Abud-Figueroa, M. A., & Peláez-Camarena, S. G. (2014). Horizontal partitioning of multimedia databases using hierarchical agglomerative clustering. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8857, 296–309. https://doi.org/10.1007/978-3-319-13650-9_27

Singh, A. (2020). SBBO Based Replicated Data Allocation Approach for Distributed Database Design. International Journal of Engineering Research and Technology, 13(9), 2461–2473. https://doi.org/10.37624/ijert/13.9.2020.2461-2473

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Published

2022-08-31