Title :
Incorporating fuzziness into timer-triggers for temporal event handling
Author :
Jin, Ying ; Bhavsar, Tejaswitha
Author_Institution :
Department of Computer Science, California State University, Sacramento, 95819-6021, USA
Abstract :
Database triggers allow database users to specify integrity constraints and business logics by describing the reactions to events. Traditional database triggers can handle mutating events such as insert, update, and delete. This paper describes our approach to incorporate timer-triggers to handle temporal events that are generated at a given time or at certain time intervals. We propose a trigger language, named FZ-Trigger, to allow fuzziness in database triggers. FZ-Triggers allow fuzzy expressions in the condition part of a trigger with either a mutating event or a temporal event. This paper describes the generation of temporal events, the language of FZ-Triggers, and the system implementation. We also present a motivating example that illustrates the use of FZ-Trigger in the case of reacting to temporal events.
Keywords :
Application software; Computer science; Control systems; Database systems; Fuzzy systems; Logic; Performance evaluation; Relational databases; Scalability; System performance;
Conference_Titel :
Information Reuse and Integration, 2008. IRI 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV, USA
Print_ISBN :
978-1-4244-2659-1
Electronic_ISBN :
978-1-4244-2660-7
DOI :
10.1109/IRI.2008.4583051