@inproceedings{dd3651e3e1114218b7f67ba0ae40f337,
title = "High-availability cluster management tool for monitoring and self-managing of cluster DBMS",
abstract = "A cluster management tool is required for monitoring and managing cluster DBMSs. There have been little studies on cluster DBMS management tool. In this paper, we design and implement a cluster DBMS management tool which can monitor the status of the nodes in a cluster DBMS as well as the status of the various DBMS instances at a given node. In addition, our management tool enables users to visualize a single virtual system image and provides them with the status of all of the nodes and resources in a system by using a graphical user interface (GUI). In addition, 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 too for the iBASE/Cluster is about 2 seconds while that of OCMS for Oracle DBMS is more than 20 seconds.",
keywords = "Cluster DBMS, Cluster management tool, Cluster monitor",
author = "Hyunjo Lee and Yongki Kim and Youngjin Kim and Jaewoo Chang",
year = "2008",
language = "English",
isbn = "1601320752",
series = "Proceedings of the 2008 International Conference on Information and Knowledge Engineering, IKE 2008",
pages = "102--107",
booktitle = "Proceedings of the 2008 International Conference on Information and Knowledge Engineering, IKE 2008",
note = "2008 International Conference on Information and Knowledge Engineering, IKE 2008 ; Conference date: 14-07-2008 Through 17-07-2008",
}