ENHANCING BVAG DATA REPLICATION TRANSACTIONS WITH HIGH-PRIORITY-NEIGHBOUR FAULT TOLERANCE APPROACH.
Saved in:
| Title: | ENHANCING BVAG DATA REPLICATION TRANSACTIONS WITH HIGH-PRIORITY-NEIGHBOUR FAULT TOLERANCE APPROACH. |
|---|---|
| Authors: | Sharifah Hafizah Sy Ahmad Ubaidillah1, Noraziah, A.1 noraziah@umpsa.edu.my, Alkazemi, Basem2, Mohd Noor, Ahmad Shukri3, Mohd Zin, Noriyani4 |
| Source: | Malaysian Journal of Computer Science. 2025 Special Issue, p196-215. 20p. |
| Subjects: | Fault tolerance (Engineering), Data replication, Distributed computing, Failure analysis, Computer performance, Transaction systems (Computer systems), Mathematical optimization |
| Abstract: | In distributed systems with failure interruption, the performance of database replication transactions might become very critical. Any distributed system that enforces data replication can be impacted by this problem. The fault tolerance approach is crucial to ensure the data replication transactions are always effective and dependable despite failures. The key advantage of fault tolerance is its capacity to complete the transaction notwithstanding a failure and restore system availability. This paper proposes a fault tolerance approach namely Binary-Vote-Assignment-Grid with High-Priority-Neighbour (BVAGHPN). It improves the efficiency of the data replication transaction in term of total execution time. This approach combines BVAG data replication transaction manager with the HPN to manage the transaction in the event of disasters. Instead of waiting for the problem to be fixed in the event of disaster, BVAGHPN halts the transaction on a failure replica, remove the failing replica from the alive quorum, and proceed the transaction with other replicas based on its own rating. BVAGHPN improves the outcomes of BVAG and BVAGCR in terms of the total execution time for two cases, PR failure and NR failure. For PR failure, BVAGHPN exceeds BVAG with 69.02% and BVAGCR (54.67%), respectively. Meanwhile, for NR failure, BVAGHPN improves BVAG with 76.88% and BVAGCR (71.97%). [ABSTRACT FROM AUTHOR] |
| Copyright of Malaysian Journal of Computer Science is the property of University of Malaysia, Faculty of Computer Science & Information Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 189314444 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: ENHANCING BVAG DATA REPLICATION TRANSACTIONS WITH HIGH-PRIORITY-NEIGHBOUR FAULT TOLERANCE APPROACH. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sharifah+Hafizah+Sy+Ahmad+Ubaidillah%22">Sharifah Hafizah Sy Ahmad Ubaidillah</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Noraziah%2C+A%2E%22">Noraziah, A.</searchLink><relatesTo>1</relatesTo><i> noraziah@umpsa.edu.my</i><br /><searchLink fieldCode="AR" term="%22Alkazemi%2C+Basem%22">Alkazemi, Basem</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Mohd+Noor%2C+Ahmad+Shukri%22">Mohd Noor, Ahmad Shukri</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Mohd+Zin%2C+Noriyani%22">Mohd Zin, Noriyani</searchLink><relatesTo>4</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Malaysian+Journal+of+Computer+Science%22">Malaysian Journal of Computer Science</searchLink>. 2025 Special Issue, p196-215. 20p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Fault+tolerance+%28Engineering%29%22">Fault tolerance (Engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Data+replication%22">Data replication</searchLink><br /><searchLink fieldCode="DE" term="%22Distributed+computing%22">Distributed computing</searchLink><br /><searchLink fieldCode="DE" term="%22Failure+analysis%22">Failure analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+performance%22">Computer performance</searchLink><br /><searchLink fieldCode="DE" term="%22Transaction+systems+%28Computer+systems%29%22">Transaction systems (Computer systems)</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In distributed systems with failure interruption, the performance of database replication transactions might become very critical. Any distributed system that enforces data replication can be impacted by this problem. The fault tolerance approach is crucial to ensure the data replication transactions are always effective and dependable despite failures. The key advantage of fault tolerance is its capacity to complete the transaction notwithstanding a failure and restore system availability. This paper proposes a fault tolerance approach namely Binary-Vote-Assignment-Grid with High-Priority-Neighbour (BVAGHPN). It improves the efficiency of the data replication transaction in term of total execution time. This approach combines BVAG data replication transaction manager with the HPN to manage the transaction in the event of disasters. Instead of waiting for the problem to be fixed in the event of disaster, BVAGHPN halts the transaction on a failure replica, remove the failing replica from the alive quorum, and proceed the transaction with other replicas based on its own rating. BVAGHPN improves the outcomes of BVAG and BVAGCR in terms of the total execution time for two cases, PR failure and NR failure. For PR failure, BVAGHPN exceeds BVAG with 69.02% and BVAGCR (54.67%), respectively. Meanwhile, for NR failure, BVAGHPN improves BVAG with 76.88% and BVAGCR (71.97%). [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Malaysian Journal of Computer Science is the property of University of Malaysia, Faculty of Computer Science & Information Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=189314444 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 196 Subjects: – SubjectFull: Fault tolerance (Engineering) Type: general – SubjectFull: Data replication Type: general – SubjectFull: Distributed computing Type: general – SubjectFull: Failure analysis Type: general – SubjectFull: Computer performance Type: general – SubjectFull: Transaction systems (Computer systems) Type: general – SubjectFull: Mathematical optimization Type: general Titles: – TitleFull: ENHANCING BVAG DATA REPLICATION TRANSACTIONS WITH HIGH-PRIORITY-NEIGHBOUR FAULT TOLERANCE APPROACH. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sharifah Hafizah Sy Ahmad Ubaidillah – PersonEntity: Name: NameFull: Noraziah, A. – PersonEntity: Name: NameFull: Alkazemi, Basem – PersonEntity: Name: NameFull: Mohd Noor, Ahmad Shukri – PersonEntity: Name: NameFull: Mohd Zin, Noriyani IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 04 Text: 2025 Special Issue Type: published Y: 2025 Identifiers: – Type: issn-print Value: 01279084 Titles: – TitleFull: Malaysian Journal of Computer Science Type: main |
| ResultId | 1 |
