@inproceedings{83f1cd736fa746a6b70ba402cad748e0,
title = "Fault-tolerant cluster management tool for self-managing of cluster DBMS",
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.",
author = "Chang, \{Jae Woo\} and Kim, \{Yong Ki\} and Kim, \{Young Chang\}",
year = "2006",
doi = "10.1007/11892960\_128",
language = "English",
isbn = "3540465359",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "1067--1074",
booktitle = "Knowledge-Based Intelligent Information and Engineering Systems - 10th International Conference, KES 2006, Proceedings",
note = "10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006 ; Conference date: 09-10-2006 Through 11-10-2006",
}