Academic Journal

A Hybrid Approach for Efficient Database Fragmentation in Distributed Systems

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: A Hybrid Approach for Efficient Database Fragmentation in Distributed Systems
Συγγραφείς: Younus, Muhammad Usman, Muhammad Shoaib, Kalsoom Safdar, Abdul Basit Dogar
Πηγή: International Journal of Innovations in Science & Technology; Vol. 8 No. 1 (2026): Vol 8 Issue 1; 162-178 ; 2709-6130 ; 2618-1630
Στοιχεία εκδότη: 50SEA
Έτος έκδοσης: 2026
Θεματικοί όροι: Horizontal Fragmentation, Distributed Database, Query Optimisation, Attribute Locality, MCRUD
Περιγραφή: Distributed Database Management Systems (DDBMSs) require effective data allocation techniques to ensure scalability, availability, and performance in distributed systems of geographically decentralized nodes. The traditional fragmentation procedures fail to consider the dynamic access frequency and attribute locality, leading to increased query costs and storage overhead. In this paper, we develop a new Derived Horizontal Fragmentation method, called MCRUD, that aims to optimise fragment placement by incorporating attribute locality and access frequency into the fragmentation process. The proposed model was tested and applied in a simulated distributed database environment, and its performance was compared with that of conventional horizontal fragmentation techniques. The metrics used to measure performance included query response time, storage overhead, data transfer rate, and computation time. Experimental findings show that the MCRUD method significantly improves system performance by reducing data retrieval time and data storage redundancy, without affecting data consistency or availability. The results show that the proposed fragmentation strategy improves the scalability and load balancing in the distributed database systems. MCRUD model offers a powerful data distribution mechanism that can be applied to a large-scale distributed environment and optimised to adapt to workload and modify database optimisation in future studies.
Τύπος εγγράφου: article in journal/newspaper
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
Relation: https://journal.50sea.com/index.php/IJIST/article/view/1754/2792; https://journal.50sea.com/index.php/IJIST/article/view/1754
DOI: 10.33411/IJIST/1754
Διαθεσιμότητα: https://journal.50sea.com/index.php/IJIST/article/view/1754
https://doi.org/10.33411/IJIST/1754
Rights: Copyright (c) 2026 50sea ; https://creativecommons.org/licenses/by/4.0
Αριθμός Καταχώρησης: edsbas.65B10F25
Βάση Δεδομένων: BASE