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Fault-Tolerant Cluster Management Tool for Self-managing of Cluster DBMS

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4251))

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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.

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

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  6. 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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Author information

Authors and Affiliations

  1. Dept. of Computer Engineering, Chonbuk National University, Chonju, Chonbuk, 561-756, South Korea

    Jae-Woo Chang, Yong-Ki Kim & Young-Chang Kim

Authors
  1. Jae-Woo Chang
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  2. Yong-Ki Kim
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  3. Young-Chang Kim
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Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

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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

  • Online ISBN: 978-3-540-46536-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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