Abstract
In active d atabases, rules are represented in the form of ECA (event-condition-action). Database events can be detected by defining triggers on the underlying application databases. Many-a-times, temporal conditions that limit the validity period of the event are as sociated with the ECA rule. The performance of the database can get adversely affected if such temporal constraints are checked (either at the application level or at database level) for every transaction (event) irrespective of whether that transaction (event) has occurred within the said time interval. This drawback can be avoided by optimizing the temporal constraints associated with the sub-events of a composite event based on the semantics of the composite event operators. This paper describes such an algorithm that optimizes the temporal constraints associated with (composite) events and improves the efficiency of the databases by creating and destroying triggers dynamically such that the semantics of the event is unchanged. The efficiency of the technique is validated by our experimental results.
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Bhide, M., Gupta, A., Joshi, M., Mohania, M. (2004). Optimal Deployment of Triggers for Detecting Events. In: Galindo, F., Takizawa, M., Traunmüller, R. (eds) Database and Expert Systems Applications. DEXA 2004. Lecture Notes in Computer Science, vol 3180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30075-5_7
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DOI: https://doi.org/10.1007/978-3-540-30075-5_7
Publisher Name: Springer, Berlin, Heidelberg
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