DocumentCode
2677519
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
fYear
1999
fDate
23-26 Mar 1999
Firstpage
384
Lastpage
391
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering, 1999. Proceedings., 15th International Conference on
Conference_Location
Sydney, NSW
ISSN
1063-6382
Print_ISBN
0-7695-0071-4
Type
conf
DOI
10.1109/ICDE.1999.754954
Filename
754954
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