A Context-based approach for troubleshooting database problems

In the area of database administration, when a hot critical problem suddenly occurs, an organization may lose large amounts of money for each hour of downtime. In such situations, the life of a database administrator (DBA) can become stressful because of the excessive pressure to solve problems quickly. Most of the DBAs often work in a fire-fighting mode and have little opportunity to be proactive. They are continually readjusting standard procedures and developing practices to manage a multitude of specific situations that differ from the generic situation by some few contextual elements. This paper proposes to use “Contextual Graphs” approach to deal with context change in database administration. This research work presents a new version of the contextual graph platform as a basis for designing and implementing a context-based intelligent assistant system for supporting DBAs.