Adaptive Fault Resolution for Database Replication Systems
Paper
Paper/Presentation Title | Adaptive Fault Resolution for Database Replication Systems |
---|---|
Presentation Type | Paper |
Authors | Wee, Chee Keong (Author), Zhou, Xujuan (Author), Gururajan, Raj (Author), Tao, Xiaohui (Author) and Wee, Nathan (Author) |
Editors | Li, Bohan, Yue, Lin, Jiang, Jing, Chen, Weitong, Li, Xue, Long, Guodong, Fang, Fei and Yu, Han |
Journal or Proceedings Title | Lecture Notes in Computer Science (Book series) |
ERA Conference ID | 43204 |
Journal Citation | 13087, pp. 368-381 |
Number of Pages | 14 |
Year | 2022 |
Publisher | Springer |
Place of Publication | Berlin |
ISSN | 1611-3349 |
0302-9743 | |
ISBN | 9783030954048 |
9783030954055 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-030-95405-5_26 |
Web Address (URL) of Paper | https://link.springer.com/chapter/10.1007/978-3-030-95405-5_26 |
Conference/Event | 17th International Conference on Advanced Data Mining and Applications (ADMA 2021) |
International Conference on Advanced Data Mining and Applications | |
Event Details | International Conference on Advanced Data Mining and Applications ADMA Rank B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B |
Event Details | 17th International Conference on Advanced Data Mining and Applications (ADMA 2021) Event Date 02 to end of 04 Feb 2022 Event Location Sydney, Australia |
Abstract | Database replication is ubiquitous among organizations’ IT infrastructure when data is shared across multiple systems and their service uptime is critical. But complex software will eventually suffer outages due to different types of circumstances and it is important to resolve them promptly and restore the services. This paper proposes an approach to resolve data replication software’s through deep reinforcement learning. Empirical results show that the new method can resolve software faults quickly with high accuracy. |
Keywords | Data replication; Database management; Fault resolution; Reinforcement learning |
ANZSRC Field of Research 2020 | 460201. Artificial life and complex adaptive systems |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Department of Health, Queensland |
School of Business | |
Dialog Information Technology, Australia | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q710q/adaptive-fault-resolution-for-database-replication-systems
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