N., Ahmad and Ainul Azila, Che Fauzi and Sharifah Hafizah, Sy Ahmad Ubaidillah and Al-Kazemi, Basem and Odili, Julius Beneoluchi (2021) BVAGQ-AR for Fragmented Database Replication Management. IEEE Access, 9. pp. 56168-56177. ISSN 2169-3536. (Published)
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Abstract
Large amounts of data have been produced at a rapid rate since the invention of computers. This condition is the key motivation for up-to-date and forthcoming research frontiers. Replication is one of the mechanisms for managing data, since it improves data accessibility and reliability in the distributed database environment. In recent years, the amount of various data grows rapidly with widely available low-cost technology. Although we have been packed with data, we still have lacked of knowledge. Nevertheless, if the impractical data is used in database replication, this will cause waste of data storage and the time taken for a replication process will be delayed. This paper proposes Binary Vote Assignment on Grid Quorum with Association Rule (BVAGQ-AR) algorithm in order to handle fragmented database synchronous replication. BVAGQ-AR algorithm is capable for partitioning the database into disjoint fragments. Fragmentation in distributed database is very useful in terms of usage, reliability and efficiency. Managing fragmented database replication becomes a concern for the administrator because the distributed database is disseminated into split replica partitions. The result from the experiment shows that handling fragmented database synchronous replication through proposed BVAGQ-AR algorithm able to preserve data consistency in distributed environment.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Replication, algorithm, fragmentation, data mining, computational intelligence, distributed databases, data grid |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty/Division: | Centre of Excellence: IBM Centre of Excellence Faculty of Computing |
| Depositing User: | PM Dr. Noraziah Ahmad |
| Date Deposited: | 11 Jan 2022 04:17 |
| Last Modified: | 11 Jan 2022 04:17 |
| URI: | http://umpir.ump.edu.my/id/eprint/33088 |
| Download Statistic: | View Download Statistics |
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