@inproceedings{e01f2a827b9b42359434acc70fec008b,
title = "Fault-tolerant cluster management tool for supporting nonstop 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 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. We implement our cluster management tool by using Linux virtual server 0.81 as a load balancer and iBASE/Cluster as a cluster-based DBMS, under a cluster system with four server nodes. It is shown that the sensing and recovery time of our cluster management tool for the iBASE/Cluster is about 2 seconds while that of OCMS for Oracle DBMS is more than 20 seconds. Finally we show that our cluster 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.",
keywords = "Cluster, Fault-tolerant, Nonstop",
author = "Chang, \{Jae Woo\} and Um, \{Jung Ho\}",
year = "2008",
doi = "10.1007/978-3-540-69848-7\_68",
language = "English",
isbn = "354069840X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "858--870",
booktitle = "Computational Science and Its Applications - ICCSA 2008 - International Conference, Proceedings",
edition = "PART 2",
note = "International Conference on Computational Science and Its Applications, ICCSA 2008 ; Conference date: 30-06-2008 Through 03-07-2008",
}