Title :
An agent-based approach to extending the native active capability of relational database systems
Author :
Li, Lijuan ; Chakravarthy, Sharma
Author_Institution :
Comput. & Inf. Sci. & Eng. Dept., Florida Univ., Gainesville, FL, USA
Abstract :
Event-condition-action (or ECA) rules are used to capture active capability. While a number of research prototypes of active database systems have been built, ECA rule capability in relational DBMSs is still very limited. We address the problem of turning a traditional database management system into a full-fledged active database system without changing the underlying system. The advantages of this approach are: transparency; ability to and active capability without changing the client programs; retain relational DBMS´s underlying functionality; and persistence of ECA rules using the native database functionality. We describe how complete active database semantics can be supported on an existing SQL server (Sybase, in our case) by adding a mediator, termed ECA Agent, between the SQL server and the clients. ECA rules are fully supported through the ECA Agent without changing applications or the SQL server. Composite events are detected in the ECA Agent and actions are invoked in the SQL server. Events are persisted in the native database system. ECA Agent is designed to connect to SQL server by using Sybase connectivity products. The architecture, design, and implementation details are presented
Keywords :
SQL; active databases; relational databases; software agents; ECA Agent; ECA rule capability; SQL Server; Sybase connectivity products; active capability; active database semantics; active database system; active database systems; agent based approach; composite events; database management system; event-condition-action rules; native active capability; native database functionality; native database system; relational DBMS; relational DBMSs; relational database systems; Application software; Computer integrated manufacturing; Computerized monitoring; Data engineering; Database systems; Event detection; Information science; Prototypes; Relational databases; Transaction databases;
Conference_Titel :
Data Engineering, 1999. Proceedings., 15th International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7695-0071-4
DOI :
10.1109/ICDE.1999.754954