Abstract
In this paper, we design and implement a fault-tolerant cluster management tool which can monitor the status of the nodes in a cluster DBMS (Database Management System) as well as the status of the various DBMS instances at a given node. Based on the monitoring, our cluster DBMS management tool can provide an intelligent fail-over mechanism for dealing with multiple node failures in a cluster DBMS, thus making its fault-tolerance possible when combined with a load balancer. It is shown that our cluster DBMS management tool can support the nonstop and self-managing of cluster DBMS with its intelligent fail-over mechanism even in case of multiple node failures.
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This work is financially supported by the Ministry of Education and Human Resources Development (MOE), the Ministry of Commerce, Industry and Energy (MOCIE) and the Ministry of Labor (MOLAB) though the fostering project of the Lab of Excellency.
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References
Oracle Corporation, Oracle 8i Administrator’s Reference Release 3(8.1.7) for Linux Intel, ch. 7, Oracle Cluster Management Software (2000)
Gregory, F.P.: In Search of Clusters, 2nd edn. Prentice-Hall, Englewood Cliffs (1998)
Linux Clustering, http://dpnm.postech.ac.kr/cluster/index.htm
Linux Virtual Server, http://www.linuxvirtualserver.org
Kim, Y.-C., Chang, J.-W.: HACM: High-Availability Cluster Management Tool for Cluster DBMS. In: Proceedings of the International Whokshop on Database and Expert Systems Applications (2005)
Kim, H.-Y., Jin, K.-S., Kim, J., Kim, M.-J.: iBASE/Cluster: Extending the BADA-IV for a Cluster Environment. In: Proceeding of the 18th Korea Information Processing Society Fall Conference, November 2002, vol. 9(2), pp. 1769–1772 (2002)
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© 2006 Springer-Verlag Berlin Heidelberg
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Chang, JW., Kim, YK., Kim, YC. (2006). Fault-Tolerant Cluster Management Tool for Self-managing of Cluster DBMS. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892960_128
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DOI: https://doi.org/10.1007/11892960_128
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46535-5
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