By Topic

Database, heal thyself

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Nehme, R.R.V. ; Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN

The ability of a database management system (DBMS) to detect problems or problem trends (which have not yet manifested as problems) and either take corrective actions, and/or provide advice or an automated notification to the database administrator (DBA) is absolutely crucial to ensure the "always-on" and "always-operational" environments. Any DBMS related failure could be prohibitively expensive and extremely damaging to business prospects. Today's database management systems primarily rely on DBAs to manually take corrective actions to minimize failures and provide robust platform to run applications. This approach is not very efficient, expensive and often not feasible. The goal of this paper is to outline several research directions and approaches that will lead to scalable and efficient self-healing database management systems. In this paper, we propose a general framework design, termed the self-healing framework (SHF), that can enable automatic problem detection and problem resolution inside the database server, thus transforming the DBMS to become self-healing.

Published in:

Data Engineering Workshop, 2008. ICDEW 2008. IEEE 24th International Conference on

Date of Conference:

7-12 April 2008