Fault-Tolerant cluster management tool for self-managing of cluster DBMS

  • Authors:

  • Jae-Woo Chang;Yong-Ki Kim;Young-Chang Kim

  • Affiliations:

  • Dept. of Computer Engineering, Chonbuk National University, Chonju, Chonbuk, South Korea;Dept. of Computer Engineering, Chonbuk National University, Chonju, Chonbuk, South Korea;Dept. of Computer Engineering, Chonbuk National University, Chonju, Chonbuk, South Korea

  • Venue:
  • KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
  • Year:
  • 2006

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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.